Automatic interpretation and writing report of the adult waking electroencephalogram

•A computer-assisted system for automatic, systematic and comprehensive interpretation of the adult waking EEG was developed for the first time.•This new system can provide a written report of the adult waking EEG which is in good conformity with the results of visual inspection of the same record b...

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Published in:Clinical neurophysiology Vol. 125; no. 6; pp. 1081 - 1094
Main Authors: Shibasaki, Hiroshi, Nakamura, Masatoshi, Sugi, Takenao, Nishida, Shigeto, Nagamine, Takashi, Ikeda, Akio
Format: Journal Article
Language:English
Published: Netherlands Elsevier Ireland Ltd 01.06.2014
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ISSN:1388-2457, 1872-8952, 1872-8952
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Abstract •A computer-assisted system for automatic, systematic and comprehensive interpretation of the adult waking EEG was developed for the first time.•This new system can provide a written report of the adult waking EEG which is in good conformity with the results of visual inspection of the same record by qualified electroencephalographers (EEGers).•This system can be applied to the clinical diagnosis of EEG as a supplementary tool to the EEGer’s visual inspection and to the education of EEG trainees and EEG technicians. Automatic interpretation of the EEG has so far been faced with significant difficulties because of a large amount of spatial as well as temporal information contained in the EEG, continuous fluctuation of the background activity depending on changes in the subject’s vigilance and attention level, the occurrence of paroxysmal activities such as spikes and spike-and-slow-waves, contamination of the EEG with a variety of artefacts and the use of different recording electrodes and montages. Therefore, previous attempts of automatic EEG interpretation have been focussed only on a specific EEG feature such as paroxysmal abnormalities, delta waves, sleep stages and artefact detection. As a result of a long-standing cooperation between clinical neurophysiologists and system engineers, we report for the first time on a comprehensive, computer-assisted, automatic interpretation of the adult waking EEG. This system analyses the background activity, intermittent abnormalities, artefacts and the level of vigilance and attention of the subject, and automatically presents its report in written form. Besides, it also detects paroxysmal abnormalities and evaluates the effects of intermittent photic stimulation and hyperventilation on the EEG. This system of automatic EEG interpretation was formed by adopting the strategy that the qualified EEGers employ for the systematic visual inspection. This system can be used as a supplementary tool for the EEGer’s visual inspection, and for educating EEG trainees and EEG technicians.
AbstractList •A computer-assisted system for automatic, systematic and comprehensive interpretation of the adult waking EEG was developed for the first time.•This new system can provide a written report of the adult waking EEG which is in good conformity with the results of visual inspection of the same record by qualified electroencephalographers (EEGers).•This system can be applied to the clinical diagnosis of EEG as a supplementary tool to the EEGer’s visual inspection and to the education of EEG trainees and EEG technicians. Automatic interpretation of the EEG has so far been faced with significant difficulties because of a large amount of spatial as well as temporal information contained in the EEG, continuous fluctuation of the background activity depending on changes in the subject’s vigilance and attention level, the occurrence of paroxysmal activities such as spikes and spike-and-slow-waves, contamination of the EEG with a variety of artefacts and the use of different recording electrodes and montages. Therefore, previous attempts of automatic EEG interpretation have been focussed only on a specific EEG feature such as paroxysmal abnormalities, delta waves, sleep stages and artefact detection. As a result of a long-standing cooperation between clinical neurophysiologists and system engineers, we report for the first time on a comprehensive, computer-assisted, automatic interpretation of the adult waking EEG. This system analyses the background activity, intermittent abnormalities, artefacts and the level of vigilance and attention of the subject, and automatically presents its report in written form. Besides, it also detects paroxysmal abnormalities and evaluates the effects of intermittent photic stimulation and hyperventilation on the EEG. This system of automatic EEG interpretation was formed by adopting the strategy that the qualified EEGers employ for the systematic visual inspection. This system can be used as a supplementary tool for the EEGer’s visual inspection, and for educating EEG trainees and EEG technicians.
Automatic interpretation of the EEG has so far been faced with significant difficulties because of a large amount of spatial as well as temporal information contained in the EEG, continuous fluctuation of the background activity depending on changes in the subject's vigilance and attention level, the occurrence of paroxysmal activities such as spikes and spike-and-slow-waves, contamination of the EEG with a variety of artefacts and the use of different recording electrodes and montages. Therefore, previous attempts of automatic EEG interpretation have been focussed only on a specific EEG feature such as paroxysmal abnormalities, delta waves, sleep stages and artefact detection. As a result of a long-standing cooperation between clinical neurophysiologists and system engineers, we report for the first time on a comprehensive, computer-assisted, automatic interpretation of the adult waking EEG. This system analyses the background activity, intermittent abnormalities, artefacts and the level of vigilance and attention of the subject, and automatically presents its report in written form. Besides, it also detects paroxysmal abnormalities and evaluates the effects of intermittent photic stimulation and hyperventilation on the EEG. This system of automatic EEG interpretation was formed by adopting the strategy that the qualified EEGers employ for the systematic visual inspection. This system can be used as a supplementary tool for the EEGer's visual inspection, and for educating EEG trainees and EEG technicians.
Automatic interpretation of the EEG has so far been faced with significant difficulties because of a large amount of spatial as well as temporal information contained in the EEG, continuous fluctuation of the background activity depending on changes in the subject's vigilance and attention level, the occurrence of paroxysmal activities such as spikes and spike-and-slow-waves, contamination of the EEG with a variety of artefacts and the use of different recording electrodes and montages. Therefore, previous attempts of automatic EEG interpretation have been focussed only on a specific EEG feature such as paroxysmal abnormalities, delta waves, sleep stages and artefact detection. As a result of a long-standing cooperation between clinical neurophysiologists and system engineers, we report for the first time on a comprehensive, computer-assisted, automatic interpretation of the adult waking EEG. This system analyses the background activity, intermittent abnormalities, artefacts and the level of vigilance and attention of the subject, and automatically presents its report in written form. Besides, it also detects paroxysmal abnormalities and evaluates the effects of intermittent photic stimulation and hyperventilation on the EEG. This system of automatic EEG interpretation was formed by adopting the strategy that the qualified EEGers employ for the systematic visual inspection. This system can be used as a supplementary tool for the EEGer's visual inspection, and for educating EEG trainees and EEG technicians.Automatic interpretation of the EEG has so far been faced with significant difficulties because of a large amount of spatial as well as temporal information contained in the EEG, continuous fluctuation of the background activity depending on changes in the subject's vigilance and attention level, the occurrence of paroxysmal activities such as spikes and spike-and-slow-waves, contamination of the EEG with a variety of artefacts and the use of different recording electrodes and montages. Therefore, previous attempts of automatic EEG interpretation have been focussed only on a specific EEG feature such as paroxysmal abnormalities, delta waves, sleep stages and artefact detection. As a result of a long-standing cooperation between clinical neurophysiologists and system engineers, we report for the first time on a comprehensive, computer-assisted, automatic interpretation of the adult waking EEG. This system analyses the background activity, intermittent abnormalities, artefacts and the level of vigilance and attention of the subject, and automatically presents its report in written form. Besides, it also detects paroxysmal abnormalities and evaluates the effects of intermittent photic stimulation and hyperventilation on the EEG. This system of automatic EEG interpretation was formed by adopting the strategy that the qualified EEGers employ for the systematic visual inspection. This system can be used as a supplementary tool for the EEGer's visual inspection, and for educating EEG trainees and EEG technicians.
Highlights • A computer-assisted system for automatic, systematic and comprehensive interpretation of the adult waking EEG was developed for the first time. • This new system can provide a written report of the adult waking EEG which is in good conformity with the results of visual inspection of the same record by qualified electroencephalographers (EEGers). • This system can be applied to the clinical diagnosis of EEG as a supplementary tool to the EEGer’s visual inspection and to the education of EEG trainees and EEG technicians.
Author Sugi, Takenao
Nishida, Shigeto
Nagamine, Takashi
Nakamura, Masatoshi
Ikeda, Akio
Shibasaki, Hiroshi
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  organization: Department of Neurology and Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
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Cites_doi 10.1176/jnp.13.2.171
10.1016/j.clinph.2005.05.008
10.1016/S1388-2457(98)00023-6
10.1016/j.clinph.2008.02.023
10.1097/WNP.0b013e3181f534f4
10.1016/0013-4694(76)90063-8
10.1097/WNP.0b013e3182872919
10.1515/bmte.1998.43.s3.113
10.1016/j.clinph.2011.07.050
10.1016/j.clinph.2012.07.003
10.1016/j.artmed.2007.02.006
10.3171/jns.1978.48.4.0601
10.1016/0013-4694(87)90143-X
10.1016/0013-4694(92)90047-L
10.1016/0013-4694(85)90954-X
10.1212/WNL.37.7.1153
10.1161/01.STR.0000144649.49861.1d
10.1007/BF00202759
10.1016/0013-4694(82)90038-4
10.1163/15685570052061504
10.1016/0141-5425(90)90115-4
10.1002/acs.662
10.1016/0013-4694(95)00216-2
10.1090/S0025-5718-1965-0178586-1
10.1007/s12021-009-9045-2
10.1016/j.jneumeth.2012.11.005
10.1016/j.cmpb.2012.10.002
10.1016/j.clinph.2013.08.024
10.1161/01.STR.0000122622.73916.d2
10.1016/j.jneumeth.2011.06.008
10.1111/epi.12135
10.1007/s11517-010-0688-9
10.1016/j.neurobiolaging.2005.07.021
10.1016/j.smrv.2011.06.003
10.1097/WNP.0b013e3181fe0b6f
10.1097/WNP.0b013e3181eaad4b
10.1016/j.clinph.2004.06.017
10.1016/j.medengphy.2004.09.001
10.1016/j.clinph.2007.10.026
10.1097/00004691-198507000-00004
10.1016/j.clinph.2003.10.019
10.1016/j.clinph.2003.12.002
10.1371/journal.pone.0032508
10.1016/j.neurobiolaging.2011.12.011
10.1016/j.clinph.2012.02.061
10.1007/BF02471161
10.1016/j.clinph.2007.07.021
10.1016/j.clinph.2011.12.017
10.1159/000320864
10.1109/TAC.1974.1100705
10.1109/10.867917
10.1016/j.clinph.2010.07.028
10.1016/j.artmed.2004.07.003
10.1016/S1350-4533(99)00092-2
10.1016/j.clinph.2008.03.026
10.1016/j.clinph.2011.02.035
10.1097/00004691-198507000-00003
10.1016/S1388-2457(02)00297-3
10.1159/000026613
10.1007/BF01128849
10.1016/j.medengphy.2012.05.005
10.1016/j.clinph.2012.07.007
10.1097/00004691-200309000-00004
10.1016/j.clinph.2009.02.171
10.1016/j.sleep.2004.07.002
10.1109/TBME.2011.2157917
10.1007/s10548-012-0234-1
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Keywords Quantitative EEG analysis
Posterior dominant rhythm
Automatic interpretation of EEG
Spike detection
Automatic writing of EEG report
Background activity of EEG
Language English
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References Nakamura, Shibasaki (b0235) 1987; 66
Sheorajpanday, Nagels, Weeren, van Putten, De Deyn (b0345) 2011; 122
Noachtar, Binnie, Ebersole, Mauguiere, Sakamoto, Westmoreland (b0405) 1999; 52
Sugi, Nakamura, Ikeda, Shibasaki (b0365) 2002; 11
von Ellenrieder, Andrade-Valença, Dubeau, Gotman (b0385) 2012; 123
Matsuoka, Arakaki, Numaguchi, Ueno (b0210) 1978; 48
Nakamura, Sugi, Ikeda, Kakigi, Shibasaki (b0255) 1996; 98
Gotman (b0135) 1985; 2
Lodder, van Putten (b0190) 2011; 200
van Putten, Tavy (b0380) 2004; 35
Finnigan, van Putten (b0110) 2013; 124
Nishida, Nakamura, Shibasaki (b0275) 1986; 24
Nakamura, Sugi, Ikeda, Shibasaki (b0260) 1998; 2
Halford, Schalkoff, Zhou, Benbadis, Tatum, Turner (b0140) 2013; 212
Ji, Sugi, Goto, Wang, Ikeda, Nagamine (b0165) 2011; 58
Sheorajpanday, Nagels, Weeren, van Putten, De Deyn (b0340) 2009; 120
Finnigan, Walsh, Rose, Chalk (b0105) 2007; 118
van Putten, Peters, Mulder, de Haas, Bruijninckx, Tavy (b0375) 2004; 115
Zhang, Wang, Sugi, Ikeda, Nagamine, Shibasaki (b0400) 2011; 49
Cooly, Tukey (b0090) 1965; 19
Jensen, Sorensen, Leonthin, Jennum (b0160) 2010; 27
Akaike (b0005) 1974; AC-19
Bjorck (b0055) 1996
Alschuler, Tenke, Bruder, Kayser (b0010) 2014; 125
Brignol, Al-ani, Drouot (b0060) 2013; 109
Beniczky, Aurlien, Brogger, Fuglsang-Frederiksen, Martins-da-Silva, Trinka (b0050) 2013; 54
Nagata (b0225) 1989; 2
Nuwer, Comi, Emerson, Fuglsang-Frederiksen, Guerit, Hinrichs (b0410) 1999; 52
Chabot, di Michele, Prichep, John (b0075) 2001; 13
Nakamura, Shibasaki, Imajoh, Ikeda, Kakigi (b0250) 1993; 21
Nuwer, Hovda, Schrader, Vespa (b0310) 2005; 116
Ronzhina, Janoušek, Kolářová, Nováková, Honzík, Provazník (b0325) 2012; 16
Nakamura, Chen, Sugi, Ikeda, Shibasaki (b0270) 2005; 27
Leuchter, Cook, Hunter, Cai, Horvath (b0185) 2012; 7
Jobert, Escola, Poiseau, Gaillard (b0170) 1994; 71
Nakamura, Shibasaki, Nishida (b0240) 1990; 12
Mathewson, Jetha, Drmic, Bryson, Goldberg, Schmidt (b0205) 2012; 123
Bai, Nakamura, Ikeda, Shibasaki (b0040) 2000; 47
Nakamura, Nishida, Neshige, Shibasaki (b0230) 1985; 60
Olejarczyk, Jozwik, Zmyslowski, Sobieszek (b0315) 2012; 123
Rossini, Buscema, Capriotti, Grossi, Rodriguez, Del Percio (b0330) 2008; 119
Strungaru, Popescu (b0355) 1998; 43
McCoy, Hahn (b0215) 2013; 30
Aurlien, Gjerde, Aarseth, Eldoen, Karlsen, Skeidsvoll (b0030) 2004; 115
Ayoubian, Lacoma, Gotman (b0035) 2013; 35
Nishida, Nakamura, Ikeda, Shibasaki (b0280) 1999; 21
Buscema, Rossini, Babiloni, Grossi (b0065) 2007; 40
Claassen, Hirsch, Kreiter, Du, Connolly, Emerson (b0080) 2004; 115
Frost (b0115) 1985; 2
Marcuse, Schneider, Mortati, Donnelly, Arnedo, Grant (b0200) 2008; 119
Nuwer, Jordan, Ahn (b0290) 1987; 37
Bai, Nakamura, Ikeda, Shibasaki (b0045) 2000; 10
Finnigan, Rose, Walsh, Griffin, Janke, McMahon (b0100) 2004; 35
Sugi, Nakamura, Ikeda, Kakigi, Shibasaki (b0360) 1995; 33
Lodder, van Putten (b0195) 2013; 124
Nakamura, Sugi, Ikeda, Shibasaki (b0265) 2002; 16
van Putten (b0370) 2003; 20
Caso, Cursi, Magnani, Fanelli, Falautano, Comi (b0070) 2012; 33
Klekowicz, Malinowska, Piotrowska, Wolynczyk-Gmaj, Niemcewicz, Durka (b0180) 2009; 7
Shibasaki (b0350) 2008; 119
Anderer, Roberts, Schlogl, Gruber, Klosch, Herrmann (b0015) 1999; 40
Gotman, Gloor (b0125) 1976; 41
Anderson, Doolittle (b0025) 2010; 27
Gao, Yang, Sun, Yu (b0120) 2010; 27
Kim, Lee, Park, Kim, Bae, Kim (b0175) 2012; 25
Wilson, Emerson (b0395) 2002; 113
Gotman (b0130) 1982; 54
Melissant, Ypma, Frietman, Stam (b0220) 2005; 33
Scher (b0335) 2004; 5
Anderer, Moreau, Woertz, Ross, Gruber, Parapatics (b0020) 2010; 62
Cloostermans, de Vos, van Putten (b0085) 2011; 122
da Rosa, Paiva (b0095) 1993; 16
Nakamura, Shibasaki, Imajoh, Nishida, Neshiga, Ikeda (b0245) 1992; 82
Wilson, Turner, Emerson, Scheuer (b0390) 1999; 110
Inoue, Kumamaru, Sagara, Matsuoka (b0155) 1982; 42
Nuwer, Lehmann, Lopes da Silva, Matsuoka, Sutherling, Vibert (b0415) 1999; 52
Prichep, John, Ferris, Rausch, Zang, Cancro (b0320) 2006; 27
Nakamura (10.1016/j.clinph.2013.12.114_b0260) 1998; 2
Lodder (10.1016/j.clinph.2013.12.114_b0190) 2011; 200
Akaike (10.1016/j.clinph.2013.12.114_b0005) 1974; AC-19
Matsuoka (10.1016/j.clinph.2013.12.114_b0210) 1978; 48
van Putten (10.1016/j.clinph.2013.12.114_b0370) 2003; 20
Wilson (10.1016/j.clinph.2013.12.114_b0390) 1999; 110
Frost (10.1016/j.clinph.2013.12.114_b0115) 1985; 2
Gotman (10.1016/j.clinph.2013.12.114_b0130) 1982; 54
Nakamura (10.1016/j.clinph.2013.12.114_b0235) 1987; 66
Nakamura (10.1016/j.clinph.2013.12.114_b0270) 2005; 27
Anderson (10.1016/j.clinph.2013.12.114_b0025) 2010; 27
Claassen (10.1016/j.clinph.2013.12.114_b0080) 2004; 115
Sugi (10.1016/j.clinph.2013.12.114_b0360) 1995; 33
Melissant (10.1016/j.clinph.2013.12.114_b0220) 2005; 33
Brignol (10.1016/j.clinph.2013.12.114_b0060) 2013; 109
Inoue (10.1016/j.clinph.2013.12.114_b0155) 1982; 42
Beniczky (10.1016/j.clinph.2013.12.114_b0050) 2013; 54
Chabot (10.1016/j.clinph.2013.12.114_b0075) 2001; 13
Sheorajpanday (10.1016/j.clinph.2013.12.114_b0340) 2009; 120
Wilson (10.1016/j.clinph.2013.12.114_b0395) 2002; 113
Cooly (10.1016/j.clinph.2013.12.114_b0090) 1965; 19
Nuwer (10.1016/j.clinph.2013.12.114_b0310) 2005; 116
da Rosa (10.1016/j.clinph.2013.12.114_b0095) 1993; 16
Finnigan (10.1016/j.clinph.2013.12.114_b0110) 2013; 124
Strungaru (10.1016/j.clinph.2013.12.114_b0355) 1998; 43
Nishida (10.1016/j.clinph.2013.12.114_b0280) 1999; 21
Caso (10.1016/j.clinph.2013.12.114_b0070) 2012; 33
Nakamura (10.1016/j.clinph.2013.12.114_b0230) 1985; 60
Nakamura (10.1016/j.clinph.2013.12.114_b0240) 1990; 12
van Putten (10.1016/j.clinph.2013.12.114_b0375) 2004; 115
Ayoubian (10.1016/j.clinph.2013.12.114_b0035) 2013; 35
Nagata (10.1016/j.clinph.2013.12.114_b0225) 1989; 2
Nuwer (10.1016/j.clinph.2013.12.114_b0290) 1987; 37
Sheorajpanday (10.1016/j.clinph.2013.12.114_b0345) 2011; 122
Shibasaki (10.1016/j.clinph.2013.12.114_b0350) 2008; 119
Noachtar (10.1016/j.clinph.2013.12.114_b0405) 1999; 52
Mathewson (10.1016/j.clinph.2013.12.114_b0205) 2012; 123
Nakamura (10.1016/j.clinph.2013.12.114_b0265) 2002; 16
Scher (10.1016/j.clinph.2013.12.114_b0335) 2004; 5
Gotman (10.1016/j.clinph.2013.12.114_b0125) 1976; 41
Nuwer (10.1016/j.clinph.2013.12.114_b0415) 1999; 52
van Putten (10.1016/j.clinph.2013.12.114_b0380) 2004; 35
Nakamura (10.1016/j.clinph.2013.12.114_b0255) 1996; 98
Nakamura (10.1016/j.clinph.2013.12.114_b0250) 1993; 21
Marcuse (10.1016/j.clinph.2013.12.114_b0200) 2008; 119
Bai (10.1016/j.clinph.2013.12.114_b0045) 2000; 10
Gotman (10.1016/j.clinph.2013.12.114_b0135) 1985; 2
Lodder (10.1016/j.clinph.2013.12.114_b0195) 2013; 124
Prichep (10.1016/j.clinph.2013.12.114_b0320) 2006; 27
Rossini (10.1016/j.clinph.2013.12.114_b0330) 2008; 119
Leuchter (10.1016/j.clinph.2013.12.114_b0185) 2012; 7
Anderer (10.1016/j.clinph.2013.12.114_b0020) 2010; 62
Klekowicz (10.1016/j.clinph.2013.12.114_b0180) 2009; 7
Alschuler (10.1016/j.clinph.2013.12.114_b0010) 2014; 125
Jobert (10.1016/j.clinph.2013.12.114_b0170) 1994; 71
Finnigan (10.1016/j.clinph.2013.12.114_b0105) 2007; 118
von Ellenrieder (10.1016/j.clinph.2013.12.114_b0385) 2012; 123
Gao (10.1016/j.clinph.2013.12.114_b0120) 2010; 27
Kim (10.1016/j.clinph.2013.12.114_b0175) 2012; 25
Nishida (10.1016/j.clinph.2013.12.114_b0275) 1986; 24
Sugi (10.1016/j.clinph.2013.12.114_b0365) 2002; 11
Anderer (10.1016/j.clinph.2013.12.114_b0015) 1999; 40
Ji (10.1016/j.clinph.2013.12.114_b0165) 2011; 58
Bai (10.1016/j.clinph.2013.12.114_b0040) 2000; 47
Bjorck (10.1016/j.clinph.2013.12.114_b0055) 1996
Halford (10.1016/j.clinph.2013.12.114_b0140) 2013; 212
Aurlien (10.1016/j.clinph.2013.12.114_b0030) 2004; 115
McCoy (10.1016/j.clinph.2013.12.114_b0215) 2013; 30
Olejarczyk (10.1016/j.clinph.2013.12.114_b0315) 2012; 123
Buscema (10.1016/j.clinph.2013.12.114_b0065) 2007; 40
Finnigan (10.1016/j.clinph.2013.12.114_b0100) 2004; 35
Jensen (10.1016/j.clinph.2013.12.114_b0160) 2010; 27
Nakamura (10.1016/j.clinph.2013.12.114_b0245) 1992; 82
Nuwer (10.1016/j.clinph.2013.12.114_b0410) 1999; 52
Ronzhina (10.1016/j.clinph.2013.12.114_b0325) 2012; 16
Zhang (10.1016/j.clinph.2013.12.114_b0400) 2011; 49
Cloostermans (10.1016/j.clinph.2013.12.114_b0085) 2011; 122
References_xml – volume: 122
  start-page: 2100
  year: 2011
  end-page: 2109
  ident: b0085
  article-title: A novel approach for computer assisted EEG monitoring in the adult ICU
  publication-title: Clin Neurophysiol
– volume: 58
  start-page: 2478
  year: 2011
  end-page: 2488
  ident: b0165
  article-title: An automatic spike detection system based on elimination of false positives using the large-area context in the scalp EEG
  publication-title: IEEE Trans Biomed Eng
– volume: 66
  start-page: 89
  year: 1987
  end-page: 92
  ident: b0235
  article-title: Elimination of EKG artifacts from EEG records; a new method of non-cephalic referential EEG recording
  publication-title: Electroencephalogr Clin Neurophysiol
– volume: 21
  start-page: 47
  year: 1993
  end-page: 56
  ident: b0250
  article-title: Automatic EEG report making for awake background EEG
  publication-title: Jpn J Clin Neurophysiol
– volume: 5
  start-page: 533
  year: 2004
  end-page: 540
  ident: b0335
  article-title: Automated EEG-sleep analyses and neonatal neurointensive care
  publication-title: Sleep Med
– volume: 119
  start-page: 731
  year: 2008
  end-page: 743
  ident: b0350
  article-title: Human brain mapping: hemodynamic response and electrophysiology
  publication-title: Clin Neurophysiol
– volume: 115
  start-page: 1189
  year: 2004
  end-page: 1194
  ident: b0375
  article-title: A brain symmetry index (BSI) for online EEG monitoring in carotid endarterectomy
  publication-title: Clin Neurophysiol
– volume: AC-19
  start-page: 716
  year: 1974
  end-page: 723
  ident: b0005
  article-title: A new look at the statistical model identification
  publication-title: IEEE Trans Automat Control
– volume: 7
  start-page: 147
  year: 2009
  end-page: 160
  ident: b0180
  article-title: On the robust parametric detection of EEG artifacts in polysomnographic recordings
  publication-title: Neuroinform
– volume: 82
  start-page: 423
  year: 1992
  end-page: 431
  ident: b0245
  article-title: Automatic EEG interpretation: a new computer-assisted system for the automatic integrative interpretation of awake background EEG
  publication-title: Electroencephalogr Clin Neurophysiol
– volume: 27
  start-page: 453
  year: 2010
  end-page: 457
  ident: b0025
  article-title: Automated analysis of EEG: opportunities and pitfalls
  publication-title: J Clin Neurophysiol
– volume: 16
  start-page: 239
  year: 1993
  end-page: 248
  ident: b0095
  article-title: Automatic detection of K-complexes: validation in normals and dysthymic patients
  publication-title: Sleep
– volume: 123
  start-page: 1798
  year: 2012
  end-page: 1809
  ident: b0205
  article-title: Regional EEG alpha power, coherence, and behavioral symptomatology in autism spectrum disorder
  publication-title: Clin Neurophysiol
– volume: 54
  start-page: 530
  year: 1982
  end-page: 540
  ident: b0130
  article-title: Automatic recognition of epileptic seizures in the EEG
  publication-title: Electroencephalogr Clin Neurophysiol
– volume: 27
  start-page: 312
  year: 2010
  end-page: 320
  ident: b0120
  article-title: Automatic removal of various artifacts from EEG signals using combined methods
  publication-title: J Clin Neurophysiol
– volume: 27
  start-page: 296
  year: 2010
  end-page: 302
  ident: b0160
  article-title: Automatic sleep scoring in normals and in individuals with neurodegenerative disorders according to new international sleep scoring criteria
  publication-title: J Clin Neurophysiol
– volume: 33
  start-page: 2343
  year: 2012
  end-page: 2356
  ident: b0070
  article-title: Quantitative EEG and LORETA: valuable tools in discerning FTD from AD?
  publication-title: Neurobiol Aging
– volume: 2
  start-page: 119
  year: 1989
  end-page: 128
  ident: b0225
  article-title: Topographic EEG mapping in cerebrovascular disease
  publication-title: Brain Topogr
– volume: 27
  start-page: 93
  year: 2005
  end-page: 100
  ident: b0270
  article-title: Technical quality evaluation of EEG recording based on electroencephalographers’ knowledge
  publication-title: Med Eng Phys
– volume: 43
  start-page: 113
  year: 1998
  end-page: 116
  ident: b0355
  article-title: Neural network for sleep EEG K-complex detection
  publication-title: Biomed Tech
– volume: 19
  start-page: 297
  year: 1965
  end-page: 301
  ident: b0090
  article-title: An algorithm for the machine computation of complex Fourier series
  publication-title: Math Comput
– volume: 27
  start-page: 471
  year: 2006
  end-page: 481
  ident: b0320
  article-title: Prediction of longitudinal cognitive decline in normal elderly with subjective complaints using electrophysiological imaging
  publication-title: Neurobiol Aging
– volume: 13
  start-page: 171
  year: 2001
  end-page: 186
  ident: b0075
  article-title: The clinical role of computerized EEG in the evaluation and treatment of learning and attention disorders in children and adolescents
  publication-title: J Neuropsychiatry Clin Neurosci
– volume: 123
  start-page: 670
  year: 2012
  end-page: 680
  ident: b0385
  article-title: Automatic detection of fast oscillations (40–200
  publication-title: Clin Neurophysiol
– volume: 24
  start-page: 8
  year: 1986
  end-page: 14
  ident: b0275
  article-title: An EEG model expressed by the sinusoidal waves with the Markov process amplitude
  publication-title: JJME
– volume: 52
  start-page: 11
  year: 1999
  end-page: 14
  ident: b0410
  article-title: IFCN standards for digital recording of clinical EEG
  publication-title: Recommendations for the practice of clinical neurophysiology: guidelines of the International Federation of Clinical Neurophysiology
– volume: 35
  start-page: 319
  year: 2013
  end-page: 328
  ident: b0035
  article-title: Automatic seizure detection in SEEG using high frequency activities in wavelet domain
  publication-title: Med Eng Phys
– volume: 60
  start-page: 84
  year: 1985
  end-page: 89
  ident: b0230
  article-title: Quantitative analysis of ‘organization’ by feature extraction of the EEG power spectrum
  publication-title: Electroencephalogr Clin Neurophysiol
– volume: 122
  start-page: 874
  year: 2011
  end-page: 883
  ident: b0345
  article-title: Quantitative EEG in ischemic stroke: correlation with functional status after 6
  publication-title: Clin Neurophysiol
– volume: 37
  start-page: 1153
  year: 1987
  end-page: 1159
  ident: b0290
  article-title: Evaluation of stroke using EEG frequency analysis and topographic mapping
  publication-title: Neurology
– volume: 2
  start-page: 251
  year: 1985
  end-page: 265
  ident: b0135
  article-title: Practical use of computer-assisted EEG interpretation in epilepsy
  publication-title: J Clin Neurophysiol
– volume: 116
  start-page: 2001
  year: 2005
  end-page: 2025
  ident: b0310
  article-title: Routine and quantitative EEG in mild traumatic brain injury
  publication-title: Clin Neurophysiol
– volume: 115
  start-page: 665
  year: 2004
  end-page: 673
  ident: b0030
  article-title: EEG background activity described by a large computerized database
  publication-title: Clin Neurophysiol
– year: 1996
  ident: b0055
  article-title: Numerical methods for least square problems
– volume: 7
  start-page: e32508
  year: 2012
  ident: b0185
  article-title: Resting-state quantitative electroencephalography reveals increased neurophysiologic connectivity in depression
  publication-title: PLoS One
– volume: 20
  start-page: 320
  year: 2003
  end-page: 325
  ident: b0370
  article-title: Nearest neighbor phase synchronization as a measure to detect seizure activity from scalp EEG recordings
  publication-title: J Clin Neurophysiol
– volume: 35
  start-page: 2489
  year: 2004
  end-page: 2492
  ident: b0380
  article-title: Continuous quantitative EEG monitoring in hemispheric stroke patients using the brain symmetry index
  publication-title: Stroke
– volume: 124
  start-page: 228
  year: 2013
  end-page: 237
  ident: b0195
  article-title: Quantification of the adult EEG background pattern
  publication-title: Clin Neurophysiol
– volume: 21
  start-page: 601
  year: 1999
  end-page: 608
  ident: b0280
  article-title: Signal separation of background EEG and spike by using morphological filter
  publication-title: Med Eng Phys
– volume: 48
  start-page: 601
  year: 1978
  end-page: 608
  ident: b0210
  article-title: The effect of dexamethasone on electroencephalograms in patients with brain tumors. With specific reference to topographic computer display of delta activity
  publication-title: J Neurosurg
– volume: 113
  start-page: 1873
  year: 2002
  end-page: 1881
  ident: b0395
  article-title: Spike detection: a review and comparison of algorithms
  publication-title: Clin Neurophysiol
– volume: 54
  start-page: 1112
  year: 2013
  end-page: 1124
  ident: b0050
  article-title: Standardized computer-based organized reporting of EEG: SCORE
  publication-title: Epilepsia
– volume: 35
  start-page: 899
  year: 2004
  end-page: 903
  ident: b0100
  article-title: Correlation of quantitative EEG in acute stroke with 30 days NIHSS score: comparison with diffusion and perfusion MRI
  publication-title: Stroke
– volume: 2
  start-page: 91
  year: 1998
  end-page: 95
  ident: b0260
  article-title: Realization of artificial intelligence for integrative electroencephalogram interpretation
  publication-title: Artif Life Robotics
– volume: 52
  start-page: 21
  year: 1999
  end-page: 40
  ident: b0405
  article-title: A glossary of terms most commonly used by clinical electroencephalographers and proposal for the report form for the EEG findings
  publication-title: Recommendations for the practice of clinical neurophysiology: guidelines of the International Federation of Clinical Neurophysiology
– volume: 115
  start-page: 2699
  year: 2004
  end-page: 2710
  ident: b0080
  article-title: Quantitative continuous EEG for detecting delayed cerebral ischaemia in patients with poor grade subarachnoid haemorrhage
  publication-title: Clin Neurophysiol
– volume: 98
  start-page: 103
  year: 1996
  end-page: 112
  ident: b0255
  article-title: Clinical application of automatic integrative interpretation of awake background EEG: quantitative interpretation, report making, and detection of artifacts and reduced vigilance level
  publication-title: Electroencephalogr Clin Neurophysiol
– volume: 25
  start-page: 461
  year: 2012
  end-page: 474
  ident: b0175
  article-title: Clinical implications of quantitative electroencephalography and current source density in patients with Alzheimer’s disease
  publication-title: Brain Topogr
– volume: 12
  start-page: 51
  year: 1990
  end-page: 56
  ident: b0240
  article-title: Method for recording short latency evoked potentials using an EKG artifact elimination procedure
  publication-title: J Biomed Eng
– volume: 109
  start-page: 227
  year: 2013
  end-page: 238
  ident: b0060
  article-title: Phase space and power spectral approaches for EEG-based automatic sleep–wake classification in humans: a comparative study using short and standard epoch lengths
  publication-title: Comp Method Programs Biomed
– volume: 16
  start-page: 25
  year: 2002
  end-page: 37
  ident: b0265
  article-title: Automatic EEG interpretation adaptable to individual electroencephalographer using artificial neural network
  publication-title: Int J Adapt Control Signal Process
– volume: 11
  start-page: 261
  year: 2002
  end-page: 277
  ident: b0365
  article-title: Adaptive EEG spike detection: determination of threshold values based on conditional probability
  publication-title: Front Med Biol Eng
– volume: 71
  start-page: 197
  year: 1994
  end-page: 207
  ident: b0170
  article-title: Automatic analysis of sleep using two parameters based on principal component analysis of electroencephalography spectral data
  publication-title: Biol Cybern
– volume: 62
  start-page: 250
  year: 2010
  end-page: 264
  ident: b0020
  article-title: Computer-assisted sleep classification according to the standard of the American Academy of Sleep Medicine: validation study of the AASM version of the Somnolyzer 24 × 7
  publication-title: Neuropsychobiology
– volume: 41
  start-page: 513
  year: 1976
  end-page: 529
  ident: b0125
  article-title: Automatic recognition and quantification of interictal epileptic activity in the human scalp EEG
  publication-title: Electroencephalogr Clin Neurophysiol
– volume: 42
  start-page: 177
  year: 1982
  end-page: 195
  ident: b0155
  article-title: Pattern recognition approach to human sleep EEG analysis and detection of sleep stages
  publication-title: Mem Fac Eng Kyushu Univ
– volume: 125
  start-page: 484
  year: 2014
  end-page: 490
  ident: b0010
  article-title: Identifying electrode bridging from electrical distance distributions: a survey of publicly-available EEG data using a new method
  publication-title: Clin Neurophysiol
– volume: 200
  start-page: 86
  year: 2011
  end-page: 93
  ident: b0190
  article-title: Automated EEG analysis: characterizing the posterior dominant rhythm
  publication-title: J Neurosci Methods
– volume: 40
  start-page: 150
  year: 1999
  end-page: 157
  ident: b0015
  article-title: Artifact processing in computerized analysis of sleep EEG – a review
  publication-title: Neuropsychobiology
– volume: 40
  start-page: 127
  year: 2007
  end-page: 141
  ident: b0065
  article-title: The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer’s disease patients with high degree of accuracy
  publication-title: Artif Intell Med
– volume: 10
  start-page: 1
  year: 2000
  end-page: 15
  ident: b0045
  article-title: Automatic detection of open and closed eye states in the electroencephalographic (EEG) record for background EEG interpretation by the trigger method
  publication-title: Front Med Biol Eng
– volume: 47
  start-page: 1141
  year: 2000
  end-page: 1146
  ident: b0040
  article-title: Nonlinear Markov process amplitude EEG model for nonlinear coupling interaction of spontaneous EEG
  publication-title: IEEE Trans Biomed Eng
– volume: 212
  start-page: 308
  year: 2013
  end-page: 316
  ident: b0140
  article-title: Standardized database development for EEG epileptiform transient detection: EEGnet scoring system and machine learning analysis
  publication-title: J Neurosci Methods
– volume: 123
  start-page: 1512
  year: 2012
  end-page: 1522
  ident: b0315
  article-title: Automatic detection and analysis of the EEG sharp wave-slow wave patterns evoked by fluorinated inhalation anesthetics
  publication-title: Clin Neurophysiol
– volume: 124
  start-page: 10
  year: 2013
  end-page: 19
  ident: b0110
  article-title: EEG in ischaemic stroke: quantitative EEG can uniquely inform (sub-)acute prognosis and clinical management
  publication-title: Clin Neurophysiol
– volume: 120
  start-page: 845
  year: 2009
  end-page: 855
  ident: b0340
  article-title: Reproducibility and clinical relevance of quantitative EEG parameters in cerebral ischemia: a basic approach
  publication-title: Clin Neurophysiol
– volume: 49
  start-page: 171
  year: 2011
  end-page: 180
  ident: b0400
  article-title: Automatic interpretation of hyperventilation-induced electroencephalogram constructed in the way of qualified electroencephalographer’s visual inspection
  publication-title: Med Biol Eng Comput
– volume: 118
  start-page: 2525
  year: 2007
  end-page: 2532
  ident: b0105
  article-title: Quantitative EEG indices of sub-acute ischaemic stroke correlate with clinical outcomes
  publication-title: Clin Neurophysiol
– volume: 52
  start-page: 15
  year: 1999
  end-page: 20
  ident: b0415
  article-title: IFCN guidelines for topographic and frequency analysis of EEGs and EPs
  publication-title: Recommendations for the practice of clinical neurophysiology: guidelines of the International Federation of Clinical Neurophysiology
– volume: 110
  start-page: 404
  year: 1999
  end-page: 411
  ident: b0390
  article-title: Spike detection II: Automatic, perception-based detection and clustering
  publication-title: Clin Neurophysiol
– volume: 119
  start-page: 1534
  year: 2008
  end-page: 1545
  ident: b0330
  article-title: Is it possible to automatically distinguish resting EEG data of normal elderly vs. mild cognitive impairment subjects with high degree of accuracy?
  publication-title: Clin Neurophysiol
– volume: 16
  start-page: 251
  year: 2012
  end-page: 263
  ident: b0325
  article-title: Sleep scoring using artificial neural networks
  publication-title: Sleep Med Rev
– volume: 119
  start-page: 1778
  year: 2008
  end-page: 1781
  ident: b0200
  article-title: Quantitative analysis of the EEG posterior-dominant rhythm in healthy adolescents
  publication-title: Clin Neurophysiol
– volume: 30
  start-page: 106
  year: 2013
  end-page: 114
  ident: b0215
  article-title: Continuous EEG monitoring in the neonatal intensive care unit
  publication-title: J Clin Neurophysiol
– volume: 33
  start-page: 203
  year: 1995
  end-page: 213
  ident: b0360
  article-title: Automatic detection of artifacts for pre-processing of automatic EEG interpretation
  publication-title: JJME
– volume: 33
  start-page: 209
  year: 2005
  end-page: 222
  ident: b0220
  article-title: A method for detection of Alzheimer’s disease using ICA-enhanced EEG measurements
  publication-title: Artif Intell Med
– volume: 2
  start-page: 231
  year: 1985
  end-page: 249
  ident: b0115
  article-title: Automatic recognition and characterization of epileptiform discharges in the human EEG
  publication-title: J Clin Neurophysiol
– volume: 13
  start-page: 171
  year: 2001
  ident: 10.1016/j.clinph.2013.12.114_b0075
  article-title: The clinical role of computerized EEG in the evaluation and treatment of learning and attention disorders in children and adolescents
  publication-title: J Neuropsychiatry Clin Neurosci
  doi: 10.1176/jnp.13.2.171
– volume: 116
  start-page: 2001
  year: 2005
  ident: 10.1016/j.clinph.2013.12.114_b0310
  article-title: Routine and quantitative EEG in mild traumatic brain injury
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2005.05.008
– volume: 110
  start-page: 404
  year: 1999
  ident: 10.1016/j.clinph.2013.12.114_b0390
  article-title: Spike detection II: Automatic, perception-based detection and clustering
  publication-title: Clin Neurophysiol
  doi: 10.1016/S1388-2457(98)00023-6
– volume: 21
  start-page: 47
  year: 1993
  ident: 10.1016/j.clinph.2013.12.114_b0250
  article-title: Automatic EEG report making for awake background EEG
  publication-title: Jpn J Clin Neurophysiol
– volume: 52
  start-page: 21
  year: 1999
  ident: 10.1016/j.clinph.2013.12.114_b0405
  article-title: A glossary of terms most commonly used by clinical electroencephalographers and proposal for the report form for the EEG findings
  publication-title: Electroencephalogr Clin Neurophysiol Suppl
– volume: 119
  start-page: 1778
  year: 2008
  ident: 10.1016/j.clinph.2013.12.114_b0200
  article-title: Quantitative analysis of the EEG posterior-dominant rhythm in healthy adolescents
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2008.02.023
– volume: 27
  start-page: 312
  year: 2010
  ident: 10.1016/j.clinph.2013.12.114_b0120
  article-title: Automatic removal of various artifacts from EEG signals using combined methods
  publication-title: J Clin Neurophysiol
  doi: 10.1097/WNP.0b013e3181f534f4
– volume: 41
  start-page: 513
  year: 1976
  ident: 10.1016/j.clinph.2013.12.114_b0125
  article-title: Automatic recognition and quantification of interictal epileptic activity in the human scalp EEG
  publication-title: Electroencephalogr Clin Neurophysiol
  doi: 10.1016/0013-4694(76)90063-8
– volume: 30
  start-page: 106
  year: 2013
  ident: 10.1016/j.clinph.2013.12.114_b0215
  article-title: Continuous EEG monitoring in the neonatal intensive care unit
  publication-title: J Clin Neurophysiol
  doi: 10.1097/WNP.0b013e3182872919
– volume: 43
  start-page: 113
  issue: Suppl 3
  year: 1998
  ident: 10.1016/j.clinph.2013.12.114_b0355
  article-title: Neural network for sleep EEG K-complex detection
  publication-title: Biomed Tech
  doi: 10.1515/bmte.1998.43.s3.113
– volume: 123
  start-page: 670
  year: 2012
  ident: 10.1016/j.clinph.2013.12.114_b0385
  article-title: Automatic detection of fast oscillations (40–200Hz) in scalp EEG recordings
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2011.07.050
– volume: 124
  start-page: 10
  year: 2013
  ident: 10.1016/j.clinph.2013.12.114_b0110
  article-title: EEG in ischaemic stroke: quantitative EEG can uniquely inform (sub-)acute prognosis and clinical management
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2012.07.003
– volume: 24
  start-page: 8
  year: 1986
  ident: 10.1016/j.clinph.2013.12.114_b0275
  article-title: An EEG model expressed by the sinusoidal waves with the Markov process amplitude
  publication-title: JJME
– volume: 40
  start-page: 127
  year: 2007
  ident: 10.1016/j.clinph.2013.12.114_b0065
  article-title: The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer’s disease patients with high degree of accuracy
  publication-title: Artif Intell Med
  doi: 10.1016/j.artmed.2007.02.006
– volume: 48
  start-page: 601
  year: 1978
  ident: 10.1016/j.clinph.2013.12.114_b0210
  article-title: The effect of dexamethasone on electroencephalograms in patients with brain tumors. With specific reference to topographic computer display of delta activity
  publication-title: J Neurosurg
  doi: 10.3171/jns.1978.48.4.0601
– volume: 66
  start-page: 89
  year: 1987
  ident: 10.1016/j.clinph.2013.12.114_b0235
  article-title: Elimination of EKG artifacts from EEG records; a new method of non-cephalic referential EEG recording
  publication-title: Electroencephalogr Clin Neurophysiol
  doi: 10.1016/0013-4694(87)90143-X
– volume: 82
  start-page: 423
  year: 1992
  ident: 10.1016/j.clinph.2013.12.114_b0245
  article-title: Automatic EEG interpretation: a new computer-assisted system for the automatic integrative interpretation of awake background EEG
  publication-title: Electroencephalogr Clin Neurophysiol
  doi: 10.1016/0013-4694(92)90047-L
– volume: 60
  start-page: 84
  year: 1985
  ident: 10.1016/j.clinph.2013.12.114_b0230
  article-title: Quantitative analysis of ‘organization’ by feature extraction of the EEG power spectrum
  publication-title: Electroencephalogr Clin Neurophysiol
  doi: 10.1016/0013-4694(85)90954-X
– volume: 37
  start-page: 1153
  year: 1987
  ident: 10.1016/j.clinph.2013.12.114_b0290
  article-title: Evaluation of stroke using EEG frequency analysis and topographic mapping
  publication-title: Neurology
  doi: 10.1212/WNL.37.7.1153
– volume: 35
  start-page: 2489
  year: 2004
  ident: 10.1016/j.clinph.2013.12.114_b0380
  article-title: Continuous quantitative EEG monitoring in hemispheric stroke patients using the brain symmetry index
  publication-title: Stroke
  doi: 10.1161/01.STR.0000144649.49861.1d
– volume: 71
  start-page: 197
  year: 1994
  ident: 10.1016/j.clinph.2013.12.114_b0170
  article-title: Automatic analysis of sleep using two parameters based on principal component analysis of electroencephalography spectral data
  publication-title: Biol Cybern
  doi: 10.1007/BF00202759
– volume: 54
  start-page: 530
  year: 1982
  ident: 10.1016/j.clinph.2013.12.114_b0130
  article-title: Automatic recognition of epileptic seizures in the EEG
  publication-title: Electroencephalogr Clin Neurophysiol
  doi: 10.1016/0013-4694(82)90038-4
– volume: 10
  start-page: 1
  year: 2000
  ident: 10.1016/j.clinph.2013.12.114_b0045
  article-title: Automatic detection of open and closed eye states in the electroencephalographic (EEG) record for background EEG interpretation by the trigger method
  publication-title: Front Med Biol Eng
  doi: 10.1163/15685570052061504
– volume: 12
  start-page: 51
  year: 1990
  ident: 10.1016/j.clinph.2013.12.114_b0240
  article-title: Method for recording short latency evoked potentials using an EKG artifact elimination procedure
  publication-title: J Biomed Eng
  doi: 10.1016/0141-5425(90)90115-4
– volume: 16
  start-page: 25
  year: 2002
  ident: 10.1016/j.clinph.2013.12.114_b0265
  article-title: Automatic EEG interpretation adaptable to individual electroencephalographer using artificial neural network
  publication-title: Int J Adapt Control Signal Process
  doi: 10.1002/acs.662
– volume: 98
  start-page: 103
  year: 1996
  ident: 10.1016/j.clinph.2013.12.114_b0255
  article-title: Clinical application of automatic integrative interpretation of awake background EEG: quantitative interpretation, report making, and detection of artifacts and reduced vigilance level
  publication-title: Electroencephalogr Clin Neurophysiol
  doi: 10.1016/0013-4694(95)00216-2
– volume: 19
  start-page: 297
  year: 1965
  ident: 10.1016/j.clinph.2013.12.114_b0090
  article-title: An algorithm for the machine computation of complex Fourier series
  publication-title: Math Comput
  doi: 10.1090/S0025-5718-1965-0178586-1
– volume: 16
  start-page: 239
  year: 1993
  ident: 10.1016/j.clinph.2013.12.114_b0095
  article-title: Automatic detection of K-complexes: validation in normals and dysthymic patients
  publication-title: Sleep
– volume: 7
  start-page: 147
  year: 2009
  ident: 10.1016/j.clinph.2013.12.114_b0180
  article-title: On the robust parametric detection of EEG artifacts in polysomnographic recordings
  publication-title: Neuroinform
  doi: 10.1007/s12021-009-9045-2
– volume: 212
  start-page: 308
  year: 2013
  ident: 10.1016/j.clinph.2013.12.114_b0140
  article-title: Standardized database development for EEG epileptiform transient detection: EEGnet scoring system and machine learning analysis
  publication-title: J Neurosci Methods
  doi: 10.1016/j.jneumeth.2012.11.005
– volume: 109
  start-page: 227
  year: 2013
  ident: 10.1016/j.clinph.2013.12.114_b0060
  article-title: Phase space and power spectral approaches for EEG-based automatic sleep–wake classification in humans: a comparative study using short and standard epoch lengths
  publication-title: Comp Method Programs Biomed
  doi: 10.1016/j.cmpb.2012.10.002
– volume: 125
  start-page: 484
  year: 2014
  ident: 10.1016/j.clinph.2013.12.114_b0010
  article-title: Identifying electrode bridging from electrical distance distributions: a survey of publicly-available EEG data using a new method
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2013.08.024
– volume: 35
  start-page: 899
  year: 2004
  ident: 10.1016/j.clinph.2013.12.114_b0100
  article-title: Correlation of quantitative EEG in acute stroke with 30 days NIHSS score: comparison with diffusion and perfusion MRI
  publication-title: Stroke
  doi: 10.1161/01.STR.0000122622.73916.d2
– volume: 200
  start-page: 86
  year: 2011
  ident: 10.1016/j.clinph.2013.12.114_b0190
  article-title: Automated EEG analysis: characterizing the posterior dominant rhythm
  publication-title: J Neurosci Methods
  doi: 10.1016/j.jneumeth.2011.06.008
– volume: 42
  start-page: 177
  year: 1982
  ident: 10.1016/j.clinph.2013.12.114_b0155
  article-title: Pattern recognition approach to human sleep EEG analysis and detection of sleep stages
  publication-title: Mem Fac Eng Kyushu Univ
– volume: 54
  start-page: 1112
  year: 2013
  ident: 10.1016/j.clinph.2013.12.114_b0050
  article-title: Standardized computer-based organized reporting of EEG: SCORE
  publication-title: Epilepsia
  doi: 10.1111/epi.12135
– volume: 49
  start-page: 171
  year: 2011
  ident: 10.1016/j.clinph.2013.12.114_b0400
  article-title: Automatic interpretation of hyperventilation-induced electroencephalogram constructed in the way of qualified electroencephalographer’s visual inspection
  publication-title: Med Biol Eng Comput
  doi: 10.1007/s11517-010-0688-9
– volume: 27
  start-page: 471
  year: 2006
  ident: 10.1016/j.clinph.2013.12.114_b0320
  article-title: Prediction of longitudinal cognitive decline in normal elderly with subjective complaints using electrophysiological imaging
  publication-title: Neurobiol Aging
  doi: 10.1016/j.neurobiolaging.2005.07.021
– volume: 16
  start-page: 251
  year: 2012
  ident: 10.1016/j.clinph.2013.12.114_b0325
  article-title: Sleep scoring using artificial neural networks
  publication-title: Sleep Med Rev
  doi: 10.1016/j.smrv.2011.06.003
– volume: 27
  start-page: 453
  year: 2010
  ident: 10.1016/j.clinph.2013.12.114_b0025
  article-title: Automated analysis of EEG: opportunities and pitfalls
  publication-title: J Clin Neurophysiol
  doi: 10.1097/WNP.0b013e3181fe0b6f
– volume: 27
  start-page: 296
  year: 2010
  ident: 10.1016/j.clinph.2013.12.114_b0160
  article-title: Automatic sleep scoring in normals and in individuals with neurodegenerative disorders according to new international sleep scoring criteria
  publication-title: J Clin Neurophysiol
  doi: 10.1097/WNP.0b013e3181eaad4b
– volume: 115
  start-page: 2699
  year: 2004
  ident: 10.1016/j.clinph.2013.12.114_b0080
  article-title: Quantitative continuous EEG for detecting delayed cerebral ischaemia in patients with poor grade subarachnoid haemorrhage
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2004.06.017
– volume: 27
  start-page: 93
  year: 2005
  ident: 10.1016/j.clinph.2013.12.114_b0270
  article-title: Technical quality evaluation of EEG recording based on electroencephalographers’ knowledge
  publication-title: Med Eng Phys
  doi: 10.1016/j.medengphy.2004.09.001
– volume: 119
  start-page: 731
  year: 2008
  ident: 10.1016/j.clinph.2013.12.114_b0350
  article-title: Human brain mapping: hemodynamic response and electrophysiology
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2007.10.026
– volume: 2
  start-page: 251
  year: 1985
  ident: 10.1016/j.clinph.2013.12.114_b0135
  article-title: Practical use of computer-assisted EEG interpretation in epilepsy
  publication-title: J Clin Neurophysiol
  doi: 10.1097/00004691-198507000-00004
– volume: 115
  start-page: 665
  year: 2004
  ident: 10.1016/j.clinph.2013.12.114_b0030
  article-title: EEG background activity described by a large computerized database
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2003.10.019
– volume: 115
  start-page: 1189
  year: 2004
  ident: 10.1016/j.clinph.2013.12.114_b0375
  article-title: A brain symmetry index (BSI) for online EEG monitoring in carotid endarterectomy
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2003.12.002
– volume: 7
  start-page: e32508
  year: 2012
  ident: 10.1016/j.clinph.2013.12.114_b0185
  article-title: Resting-state quantitative electroencephalography reveals increased neurophysiologic connectivity in depression
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0032508
– volume: 52
  start-page: 15
  year: 1999
  ident: 10.1016/j.clinph.2013.12.114_b0415
  article-title: IFCN guidelines for topographic and frequency analysis of EEGs and EPs
  publication-title: Electroencephalogr Clin Neurophysiol Suppl
– year: 1996
  ident: 10.1016/j.clinph.2013.12.114_b0055
– volume: 33
  start-page: 2343
  year: 2012
  ident: 10.1016/j.clinph.2013.12.114_b0070
  article-title: Quantitative EEG and LORETA: valuable tools in discerning FTD from AD?
  publication-title: Neurobiol Aging
  doi: 10.1016/j.neurobiolaging.2011.12.011
– volume: 123
  start-page: 1798
  year: 2012
  ident: 10.1016/j.clinph.2013.12.114_b0205
  article-title: Regional EEG alpha power, coherence, and behavioral symptomatology in autism spectrum disorder
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2012.02.061
– volume: 2
  start-page: 91
  year: 1998
  ident: 10.1016/j.clinph.2013.12.114_b0260
  article-title: Realization of artificial intelligence for integrative electroencephalogram interpretation
  publication-title: Artif Life Robotics
  doi: 10.1007/BF02471161
– volume: 33
  start-page: 203
  year: 1995
  ident: 10.1016/j.clinph.2013.12.114_b0360
  article-title: Automatic detection of artifacts for pre-processing of automatic EEG interpretation
  publication-title: JJME
– volume: 118
  start-page: 2525
  year: 2007
  ident: 10.1016/j.clinph.2013.12.114_b0105
  article-title: Quantitative EEG indices of sub-acute ischaemic stroke correlate with clinical outcomes
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2007.07.021
– volume: 123
  start-page: 1512
  year: 2012
  ident: 10.1016/j.clinph.2013.12.114_b0315
  article-title: Automatic detection and analysis of the EEG sharp wave-slow wave patterns evoked by fluorinated inhalation anesthetics
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2011.12.017
– volume: 62
  start-page: 250
  year: 2010
  ident: 10.1016/j.clinph.2013.12.114_b0020
  article-title: Computer-assisted sleep classification according to the standard of the American Academy of Sleep Medicine: validation study of the AASM version of the Somnolyzer 24 × 7
  publication-title: Neuropsychobiology
  doi: 10.1159/000320864
– volume: AC-19
  start-page: 716
  year: 1974
  ident: 10.1016/j.clinph.2013.12.114_b0005
  article-title: A new look at the statistical model identification
  publication-title: IEEE Trans Automat Control
  doi: 10.1109/TAC.1974.1100705
– volume: 47
  start-page: 1141
  year: 2000
  ident: 10.1016/j.clinph.2013.12.114_b0040
  article-title: Nonlinear Markov process amplitude EEG model for nonlinear coupling interaction of spontaneous EEG
  publication-title: IEEE Trans Biomed Eng
  doi: 10.1109/10.867917
– volume: 122
  start-page: 874
  year: 2011
  ident: 10.1016/j.clinph.2013.12.114_b0345
  article-title: Quantitative EEG in ischemic stroke: correlation with functional status after 6months
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2010.07.028
– volume: 33
  start-page: 209
  year: 2005
  ident: 10.1016/j.clinph.2013.12.114_b0220
  article-title: A method for detection of Alzheimer’s disease using ICA-enhanced EEG measurements
  publication-title: Artif Intell Med
  doi: 10.1016/j.artmed.2004.07.003
– volume: 21
  start-page: 601
  year: 1999
  ident: 10.1016/j.clinph.2013.12.114_b0280
  article-title: Signal separation of background EEG and spike by using morphological filter
  publication-title: Med Eng Phys
  doi: 10.1016/S1350-4533(99)00092-2
– volume: 119
  start-page: 1534
  year: 2008
  ident: 10.1016/j.clinph.2013.12.114_b0330
  article-title: Is it possible to automatically distinguish resting EEG data of normal elderly vs. mild cognitive impairment subjects with high degree of accuracy?
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2008.03.026
– volume: 122
  start-page: 2100
  year: 2011
  ident: 10.1016/j.clinph.2013.12.114_b0085
  article-title: A novel approach for computer assisted EEG monitoring in the adult ICU
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2011.02.035
– volume: 2
  start-page: 231
  year: 1985
  ident: 10.1016/j.clinph.2013.12.114_b0115
  article-title: Automatic recognition and characterization of epileptiform discharges in the human EEG
  publication-title: J Clin Neurophysiol
  doi: 10.1097/00004691-198507000-00003
– volume: 11
  start-page: 261
  year: 2002
  ident: 10.1016/j.clinph.2013.12.114_b0365
  article-title: Adaptive EEG spike detection: determination of threshold values based on conditional probability
  publication-title: Front Med Biol Eng
– volume: 113
  start-page: 1873
  year: 2002
  ident: 10.1016/j.clinph.2013.12.114_b0395
  article-title: Spike detection: a review and comparison of algorithms
  publication-title: Clin Neurophysiol
  doi: 10.1016/S1388-2457(02)00297-3
– volume: 40
  start-page: 150
  year: 1999
  ident: 10.1016/j.clinph.2013.12.114_b0015
  article-title: Artifact processing in computerized analysis of sleep EEG – a review
  publication-title: Neuropsychobiology
  doi: 10.1159/000026613
– volume: 2
  start-page: 119
  year: 1989
  ident: 10.1016/j.clinph.2013.12.114_b0225
  article-title: Topographic EEG mapping in cerebrovascular disease
  publication-title: Brain Topogr
  doi: 10.1007/BF01128849
– volume: 52
  start-page: 11
  year: 1999
  ident: 10.1016/j.clinph.2013.12.114_b0410
  article-title: IFCN standards for digital recording of clinical EEG
  publication-title: Electroencephalogr Clin Neurophysiol Suppl
– volume: 35
  start-page: 319
  year: 2013
  ident: 10.1016/j.clinph.2013.12.114_b0035
  article-title: Automatic seizure detection in SEEG using high frequency activities in wavelet domain
  publication-title: Med Eng Phys
  doi: 10.1016/j.medengphy.2012.05.005
– volume: 124
  start-page: 228
  year: 2013
  ident: 10.1016/j.clinph.2013.12.114_b0195
  article-title: Quantification of the adult EEG background pattern
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2012.07.007
– volume: 20
  start-page: 320
  year: 2003
  ident: 10.1016/j.clinph.2013.12.114_b0370
  article-title: Nearest neighbor phase synchronization as a measure to detect seizure activity from scalp EEG recordings
  publication-title: J Clin Neurophysiol
  doi: 10.1097/00004691-200309000-00004
– volume: 120
  start-page: 845
  year: 2009
  ident: 10.1016/j.clinph.2013.12.114_b0340
  article-title: Reproducibility and clinical relevance of quantitative EEG parameters in cerebral ischemia: a basic approach
  publication-title: Clin Neurophysiol
  doi: 10.1016/j.clinph.2009.02.171
– volume: 5
  start-page: 533
  year: 2004
  ident: 10.1016/j.clinph.2013.12.114_b0335
  article-title: Automated EEG-sleep analyses and neonatal neurointensive care
  publication-title: Sleep Med
  doi: 10.1016/j.sleep.2004.07.002
– volume: 58
  start-page: 2478
  year: 2011
  ident: 10.1016/j.clinph.2013.12.114_b0165
  article-title: An automatic spike detection system based on elimination of false positives using the large-area context in the scalp EEG
  publication-title: IEEE Trans Biomed Eng
  doi: 10.1109/TBME.2011.2157917
– volume: 25
  start-page: 461
  year: 2012
  ident: 10.1016/j.clinph.2013.12.114_b0175
  article-title: Clinical implications of quantitative electroencephalography and current source density in patients with Alzheimer’s disease
  publication-title: Brain Topogr
  doi: 10.1007/s10548-012-0234-1
SSID ssj0007042
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SecondaryResourceType review_article
Snippet •A computer-assisted system for automatic, systematic and comprehensive interpretation of the adult waking EEG was developed for the first time.•This new...
Highlights • A computer-assisted system for automatic, systematic and comprehensive interpretation of the adult waking EEG was developed for the first time. •...
Automatic interpretation of the EEG has so far been faced with significant difficulties because of a large amount of spatial as well as temporal information...
SourceID proquest
pubmed
crossref
elsevier
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 1081
SubjectTerms Adult
Algorithms
Arousal - physiology
Attention - physiology
Automatic Data Processing - methods
Automatic interpretation of EEG
Automatic writing of EEG report
Background activity of EEG
Brain Waves - physiology
Electroencephalography - classification
Electroencephalography - methods
Functional Laterality - physiology
Humans
Hyperventilation - physiopathology
Medical Writing
Neurology
Photic Stimulation
Posterior dominant rhythm
Quantitative EEG analysis
Reference Values
Research Report
Signal Processing, Computer-Assisted
Spike detection
Title Automatic interpretation and writing report of the adult waking electroencephalogram
URI https://www.clinicalkey.com/#!/content/1-s2.0-S1388245714000352
https://www.clinicalkey.es/playcontent/1-s2.0-S1388245714000352
https://dx.doi.org/10.1016/j.clinph.2013.12.114
https://www.ncbi.nlm.nih.gov/pubmed/24560132
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