Suchergebnisse - "seizure detection algorithms"

SzCORE: Seizure Community Open‐Source Research Evaluation framework for the validation of electroencephalography‐based automated seizure detection algorithms

Autoren: Jonathan Dan Una Pale Alireza Amirshahi et al.

Quelle: Epilepsia
Dan, J, Pale, U, Amirshahi, A, Cappelletti, W, Ingolfsson, T M, Wang, X, Cossettini, A, Bernini, A, Benini, L, Beniczky, S, Atienza, D & Ryvlin, P 2024, 'SzCORE : Seizure Community Open-Source Research Evaluation framework for the validation of electroencephalography-based automated seizure detection algorithms', Epilepsia. https://doi.org/10.1111/epi.18113

Schlagwörter: brain imaging data structure, seizure detection algorithms, electroencephalography, machine‐learning benchmark, machine-learning benchmark

Dateibeschreibung: application/pdf; application/application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39292446
https://onlinelibrary.wiley.com/doi/10.1111/epi.18113
https://doi.org/10.1111/epi.18113
https://hdl.handle.net/11585/1004726
http://hdl.handle.net/20.500.11850/695780
http://www.scopus.com/inward/record.url?scp=85204422871&partnerID=8YFLogxK
https://doi.org/10.1111/epi.18113
https://pure.au.dk/portal/en/publications/07c85fb1-d849-45a6-97fe-0004383d33ca

EEG Signal Analysis for Epileptic Seizure Detection: Algorithms, Challenges, and Opportunities

Autoren: Samar Tuama null Wessam Al-Salman

Quelle: Journal of Education for Pure Science. 15

SzCORE: Seizure Community Open-Source Research Evaluation framework for the validation of electroencephalography-based automated seizure detection algorithms

Autoren: Dan, Jonathan Pale, Una Amirshahi, Alireza et al.

Quelle: Epilepsia, 66 (S3)

Schlagwörter: brain imaging data structure, electroencephalography, machine-learning benchmark, seizure detection algorithms

Dateibeschreibung: application/application/pdf

Relation: info:eu-repo/semantics/altIdentifier/wos/001315177600001; info:eu-repo/grantAgreement/SNF/Sinergia/193813; https://hdl.handle.net/20.500.11850/695780

Verfügbarkeit: https://hdl.handle.net/20.500.11850/695780
https://doi.org/10.3929/ethz-b-000695780

Neonatal seizure detection algorithms: The effect of channel count

Autoren: Borovac, Ana Runarsson, Thomas Philip Thorvardsson, Gardar et al.

Quelle: Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 604-607 (2022)
Current Directions in Biomedical Engineering

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, 0206 medical engineering, seizure detection, Medicine, neonatal eeg, reduced montage, 02 engineering and technology

Zugangs-URL: https://doaj.org/article/59223ab74d9d4934a960ced40df8b099

Benchmark of EEG-based seizure detection algorithms with SzCORE ^.

Autoren: Samanos C Dan J Atienza D

Quelle: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2025 Jul; Vol. 2025, pp. 1-7.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE

MeSH-Schlagworte: Electroencephalography*/methods , Electroencephalography*/standards , Algorithms* , Seizures*/diagnosis , Seizures*/physiopathology, Humans ; Benchmarking ; Signal Processing, Computer-Assisted ; Detection Algorithms

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms

Autoren: Dan, Jonathan Pale, Una Amirshahi, Alireza et al.

Index Begriffe: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2402.13005

Calibration Methods for Automatic Seizure Detection Algorithms

Autoren: Ana Borovac David Hringur Agustsson Tomas Philip Runarsson et al.

Quelle: Machine Learning Applications in Medicine and Biology ISBN: 9783031518928

Advancements in Deep Learning Models for Epileptic Seizure Detection: Algorithms, Applications, and Future Perspectives

Autoren: null Sucheta Amanpreet Kaur

Quelle: Lecture Notes in Networks and Systems ISBN: 9789819749270

Calibration of Automatic Seizure Detection Algorithms

Autoren: A. Borovac T. P. Runarsson G. Thorvardsson et al.

Quelle: 2022 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). :1-6

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine

Performance of ECG‐based seizure detection algorithms strongly depends on training and test conditions

Autoren: Amirhossein Jahanbekam Jan Baumann Robert D. Nass et al.

Quelle: Epilepsia Open
Epilepsia Open, Vol 6, Iss 3, Pp 597-606 (2021)
Epilepsia Open, 6 (3), 597-606

Schlagwörter: ddc:796, Adult, Epilepsy, ECG, seizure detection, Electroencephalography, mobile EEG, electrodermal activity, Electrocardiography, 03 medical and health sciences, Athletic & outdoor sports & games, 0302 clinical medicine, Seizures, accelerometry, Full‐length Original Research, Humans, Neurology. Diseases of the nervous system, RC346-429, Algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/epi4.12520
https://pubmed.ncbi.nlm.nih.gov/34250754
https://doaj.org/article/b04828eebcd64801919423816563b2d0
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408591
https://publikationen.bibliothek.kit.edu/1000136998
https://onlinelibrary.wiley.com/doi/full/10.1002/epi4.12520
https://pubmed.ncbi.nlm.nih.gov/34250754/
https://publikationen.bibliothek.kit.edu/1000136998/125925078
https://publikationen.bibliothek.kit.edu/1000136998
https://doi.org/10.5445/IR/1000136998
https://publikationen.bibliothek.kit.edu/1000136998/125925078

Seizure Detection Algorithms in Critically Ill Children: A Comparative Evaluation

Autoren: Craig P. Stewart Farah Din Hiroshi Otsubo et al.

Quelle: Critical Care Medicine. 48:545-552

Schlagwörter: Canada, Adolescent, Critical Care, Critical Illness, Electroencephalography, Signal Processing, Computer-Assisted, Intensive Care Units, Pediatric, Brain Waves, Sensitivity and Specificity, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Seizures, Humans, Child, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/32205601
https://europepmc.org/article/MED/32205601
https://www.ncbi.nlm.nih.gov/pubmed/31876526
https://okayama.pure.elsevier.com/en/publications/seizure-detection-algorithms-in-critically-ill-children-a-compara
https://journals.lww.com/10.1097/CCM.0000000000004180
https://pubmed.ncbi.nlm.nih.gov/32205601/

Hybrid neonatal EEG seizure detection algorithms achieve the benchmark of visual interpretation of the human expert

Autoren: Stevenson, Nathan Tapani, Karoliina Vanhatalo et al.

Weitere Verfasser: Stevenson, Nathan Tapani, Karoliina Vanhatalo et al.

Quelle: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :5991-5994

Schlagwörter: ta113, 03 medical and health sciences, Epilepsy, 0302 clinical medicine, Seizures, Infant, Newborn, Humans, Electroencephalography, Algorithms, ta217, 3. Good health

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/31947212
https://www.ncbi.nlm.nih.gov/pubmed/31947212
https://dblp.uni-trier.de/db/conf/embc/embc2019.html#StevensonTV19
https://researchportal.helsinki.fi/en/publications/hybrid-neonatal-eeg-seizure-detection-algorithms-achieve-the-benc
https://aaltodoc.aalto.fi/handle/123456789/114971

Improving staff response to seizures on the epilepsy monitoring unit with online EEG seizure detection algorithms

Autoren: Nicole Rommens Evelien Geertsema Lisanne Jansen Holleboom et al.

Quelle: Epilepsy & Behavior. 84:99-104

Schlagwörter: Adult, Male, Epilepsy, Time Factors, Adolescent, Health Personnel, Video Recording, Electroencephalography, Sensitivity and Specificity, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Seizures, Humans, Female, Child, Algorithms, Retrospective Studies

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/29758446
https://www.ncbi.nlm.nih.gov/pubmed/29758446
https://pubmed.ncbi.nlm.nih.gov/29758446/
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201802214176025563
https://www.sciencedirect.com/science/article/pii/S1525505018302129

Fuzzy entropy based seizure detection algorithms for EEG data analysis

Autoren: Geetika Srivastava Alpika Tripathi P.K. Maurya

Quelle: Smart Healthcare for Disease Diagnosis and Prevention ISBN: 9780128179130

Schlagwörter: 3. Good health

Low-power high-accuracy seizure detection algorithms for neural implantable platforms

Autoren: Al-Moataz Bellah Refaat Hassan Mostafa Ahmed Yasser Abo Elmkarem et al.

Quelle: 2017 29th International Conference on Microelectronics (ICM). :1-4

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8268883
http://dblp.uni-trier.de/db/conf/icm2/icm2017.html#HelalERKMKAMI17
https://doi.org/10.1109/ICM.2017.8268883
http://xplorestaging.ieee.org/ielx7/8255703/8268805/08268883.pdf?arnumber=8268883

Towards Clinically Useful Neonatal Seizure Detection Algorithms

Autoren: Borovac, Ana Steinn Guðmundsson Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ) et al.

Weitere Verfasser: Borovac, Ana Steinn Guðmundsson Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ) et al.

Schlagwörter: Flog, Taugakerfi, Nýburar, Deep neural networks, Doktorsritgerðir, Greiningarpróf, EEG, Neonatal seizures

Zugangs-URL: https://hdl.handle.net/20.500.11815/4596

Seizure Detection Algorithms Based on Analysis of EEG and ECG Signals: a Survey

Autoren: Saadat Nasehi Hossein Pourghassem

Quelle: Neurophysiology. 44:174-186

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine

Zugangs-URL: https://rd.springer.com/article/10.1007/s11062-012-9285-x
https://link.springer.com/article/10.1007/s11062-012-9285-x
https://rd.springer.com/content/pdf/10.1007%2Fs11062-012-9285-x.pdf

A hardware-algorithm co-design approach to optimize seizure detection algorithms for implantable applications

Autoren: Himanshu S. Markandeya Sumeet Kumar Gupta Kaushik Roy et al.

Quelle: Journal of Neuroscience Methods. 193:106-117

Schlagwörter: Kainic Acid, Neural Prostheses, Brain, Electroencephalography, Signal Processing, Computer-Assisted, Equipment Design, Rats, 03 medical and health sciences, 0302 clinical medicine, Seizures, Animals, Female, Rats, Long-Evans, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/20713084
https://www.sciencedirect.com/science/article/abs/pii/S0165027010004504
https://www.ncbi.nlm.nih.gov/pubmed/20713084
https://pennstate.pure.elsevier.com/en/publications/a-hardware-algorithm-co-design-approach-to-optimize-seizure-detec

Heart rate and epileptic seizure detection algorithms for low-power platforms

Autoren: Sourabh Ravindran Randy Cole

Quelle: Biomedical Signal Processing and Control. 7:309-313

Schlagwörter: 0206 medical engineering, 02 engineering and technology

Comparison of Seizure Detection Algorithms in Continuously Monitored Pediatric Patients

Autoren: Hyong C. Lee Michael Kohrman Wim van Drongelen et al.

Quelle: Journal of Clinical Neurophysiology. 24:137-146

Schlagwörter: Adult, Cerebral Cortex, Male, Adolescent, Infant, Electroencephalography, Signal Processing, Computer-Assisted, Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, Seizures, Humans, Female, Child, Algorithms, Monitoring, Physiologic

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/17414969
https://www.ncbi.nlm.nih.gov/pubmed/17414969