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A client/server system for remote diagnosis of cardiac arrhythmias.

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Název: A client/server system for remote diagnosis of cardiac arrhythmias.
Autoři: Tong DA; Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, USA., Gajjala V, Widman LE
Zdroj: Proceedings. Symposium on Computer Applications in Medical Care [Proc Annu Symp Comput Appl Med Care] 1995, pp. 601-5.
Způsob vydávání: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.
Jazyk: English
Informace o časopise: Publisher: American Medical Informatics Association (Amia) Country of Publication: United States NLM ID: 8113685 Publication Model: Print Cited Medium: Print ISSN: 0195-4210 (Print) Linking ISSN: 01954210 NLM ISO Abbreviation: Proc Annu Symp Comput Appl Med Care Subsets: MEDLINE
Imprint Name(s): Publication: Bethesda Md : American Medical Informatics Association (Amia)
Original Publication: New York : Long Beach, Calif. : Institute of Electrical and Electronics Engineers ; Available from IEEE Computer Society, c1977-c1995.
Výrazy ze slovníku MeSH: Computer Systems* , Electrocardiography* , Telemedicine*, Arrhythmias, Cardiac/*diagnosis, Artificial Intelligence ; Computer Communication Networks ; Humans ; Microcomputers ; Remote Consultation ; Software
Abstrakt: Health care practitioners are often faced with the task of interpreting complex heart rhythms from electrocardiograms (ECGs) produced by 12-lead ECG machines, ambulatory (Holter) monitoring systems, and intensive-care unit monitors. Usually, the practitioner caring for the patient does not have specialized training in cardiology or in ECG interpretation; and commercial programs that interpret 12-lead ECGs have been well-documented in the medical literature to perform poorly at analyzing cardiac rhythm. We believe that a system capable of providing comprehensive ECG interpretation as well as access to online consultations will be beneficial to the health care system. We hypothesized that we could develop a client-server based telemedicine system capable of providing access to (1) an on-line knowledge-based system for remote diagnosis of cardiac arrhythmias and (2) an on-line cardiologist for real-time interactive consultation using readily available resources on the Internet. Furthermore, we hypothesized that Macintosh and Microsoft Windows-based personal computers running an X server could function as the delivery platform for the developed system. Although we were successful in developing such a system that will run efficiently on a UNIX-based work-station, current personal computer X server software are not capable of running the system efficiently.
References: Am J Cardiol. 1973 Apr;31(4):457-61. (PMID: 4571161)
JAMA. 1975 Apr 7;232(1):51-3. (PMID: 1090767)
J Electrocardiol. 1993;26 Suppl:182-93. (PMID: 8189123)
Comput Biomed Res. 1993 Jun;26(3):206-19. (PMID: 8325001)
Lancet. 1975 May 24;1(7917):1151-4. (PMID: 48773)
Grant Information: R01 LM05530 United States LM NLM NIH HHS
Entry Date(s): Date Created: 19950101 Date Completed: 19960304 Latest Revision: 20181113
Update Code: 20250114
PubMed Central ID: PMC2579164
PMID: 8563356
Databáze: MEDLINE
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  Label: Title
  Group: Ti
  Data: A client/server system for remote diagnosis of cardiac arrhythmias.
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  Data: <searchLink fieldCode="AU" term="%22Tong+DA%22">Tong DA</searchLink>; Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, USA.<br /><searchLink fieldCode="AU" term="%22Gajjala+V%22">Gajjala V</searchLink><br /><searchLink fieldCode="AU" term="%22Widman+LE%22">Widman LE</searchLink>
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  Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Medical+Informatics+Association+%28Amia%29%22">American Medical Informatics Association (Amia) </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8113685 <i>Publication Model: </i>Print <i>Cited Medium: </i>Print <i>ISSN: </i>0195-4210 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201954210%22">01954210 </searchLink><i>NLM ISO Abbreviation: </i>Proc Annu Symp Comput Appl Med Care <i>Subsets: </i>MEDLINE
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  Data: <i>Publication</i>: Bethesda Md : American Medical Informatics Association (Amia)<br /><i>Original Publication</i>: New York : Long Beach, Calif. : Institute of Electrical and Electronics Engineers ; Available from IEEE Computer Society, c1977-c1995.
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  Data: <searchLink fieldCode="MM" term="%22Computer+Systems%22">Computer Systems*</searchLink> <br /><searchLink fieldCode="MM" term="%22Electrocardiography%22">Electrocardiography*</searchLink> <br /><searchLink fieldCode="MM" term="%22Telemedicine%22">Telemedicine*</searchLink><br /><searchLink fieldCode="MM" term="%22Arrhythmias%2C+Cardiac%22">Arrhythmias, Cardiac</searchLink>/<searchLink fieldCode="MM" term="%22Arrhythmias%2C+Cardiac+diagnosis%22">*diagnosis</searchLink><br /><searchLink fieldCode="MH" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink> ; <searchLink fieldCode="MH" term="%22Computer+Communication+Networks%22">Computer Communication Networks</searchLink> ; <searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Microcomputers%22">Microcomputers</searchLink> ; <searchLink fieldCode="MH" term="%22Remote+Consultation%22">Remote Consultation</searchLink> ; <searchLink fieldCode="MH" term="%22Software%22">Software</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Health care practitioners are often faced with the task of interpreting complex heart rhythms from electrocardiograms (ECGs) produced by 12-lead ECG machines, ambulatory (Holter) monitoring systems, and intensive-care unit monitors. Usually, the practitioner caring for the patient does not have specialized training in cardiology or in ECG interpretation; and commercial programs that interpret 12-lead ECGs have been well-documented in the medical literature to perform poorly at analyzing cardiac rhythm. We believe that a system capable of providing comprehensive ECG interpretation as well as access to online consultations will be beneficial to the health care system. We hypothesized that we could develop a client-server based telemedicine system capable of providing access to (1) an on-line knowledge-based system for remote diagnosis of cardiac arrhythmias and (2) an on-line cardiologist for real-time interactive consultation using readily available resources on the Internet. Furthermore, we hypothesized that Macintosh and Microsoft Windows-based personal computers running an X server could function as the delivery platform for the developed system. Although we were successful in developing such a system that will run efficiently on a UNIX-based work-station, current personal computer X server software are not capable of running the system efficiently.
– Name: Ref
  Label: References
  Group: RefInfo
  Data: Am J Cardiol. 1973 Apr;31(4):457-61. (PMID: <searchLink fieldCode="PM" term="%224571161%22">4571161)</searchLink><br />JAMA. 1975 Apr 7;232(1):51-3. (PMID: <searchLink fieldCode="PM" term="%221090767%22">1090767)</searchLink><br />J Electrocardiol. 1993;26 Suppl:182-93. (PMID: <searchLink fieldCode="PM" term="%228189123%22">8189123)</searchLink><br />Comput Biomed Res. 1993 Jun;26(3):206-19. (PMID: <searchLink fieldCode="PM" term="%228325001%22">8325001)</searchLink><br />Lancet. 1975 May 24;1(7917):1151-4. (PMID: <searchLink fieldCode="PM" term="%2248773%22">48773)</searchLink>
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  Data: R01 LM05530 United States LM NLM NIH HHS
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  Data: <i>Date Created: </i>19950101 <i>Date Completed: </i>19960304 <i>Latest Revision: </i>20181113
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    Languages:
      – Code: eng
        Text: English
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      Pagination:
        StartPage: 601
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Computer Communication Networks
        Type: general
      – SubjectFull: Humans
        Type: general
      – SubjectFull: Microcomputers
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      – SubjectFull: Remote Consultation
        Type: general
      – SubjectFull: Software
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      – SubjectFull: Arrhythmias, Cardiac diagnosis
        Type: general
      – SubjectFull: Computer Systems
        Type: general
      – SubjectFull: Electrocardiography
        Type: general
      – SubjectFull: Telemedicine
        Type: general
    Titles:
      – TitleFull: A client/server system for remote diagnosis of cardiac arrhythmias.
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            NameFull: Tong DA
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            NameFull: Gajjala V
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            – D: 01
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              Text: 1995
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