• DocumentCode
    1508406
  • Title

    The impact of the MIT-BIH Arrhythmia Database

  • Author

    Moody, George B. ; Mark, Roger G.

  • Author_Institution
    Harvard-MIT Div. of Health Sci. & Technol., Cambridge, MA, USA
  • Volume
    20
  • Issue
    3
  • fYear
    2001
  • Firstpage
    45
  • Lastpage
    50
  • Abstract
    The MIT-BIH Arrhythmia Database was the first generally available set of standard test material for evaluation of arrhythmia detectors, and it has been used for that purpose as well as for basic research into cardiac dynamics at about 500 sites worldwide since 1980. It has lived a far longer life than any of its creators ever expected. Together with the American Heart Association Database, it played an interesting role in stimulating manufacturers of arrhythmia analyzers to compete on the basis of objectively measurable performance, and much of the current appreciation of the value of common databases, both for basic research and for medical device development and evaluation, can be attributed to this experience. In this article, we briefly review the history of the database, describe its contents, discuss what we have learned about database design and construction, and take a look at some of the later projects that have been stimulated by both the successes and the limitations of the MIT-BIH Arrhythmia Database.
  • Keywords
    database management systems; electrocardiography; history; information resources; medical information systems; medical signal processing; technological forecasting; ECG data; Holter tapes; MIT-BIH Arrhythmia Database; arrhythmia detectors evaluation; cardiac dynamics; database construction; database contents; database design; historical aspects; objectively measurable performance; standard test material; Aging; Databases; Detectors; Electrocardiography; Heart; History; Laboratories; Manufacturing; Materials testing; Rhythm; Algorithms; Arrhythmias, Cardiac; Databases, Factual; Diagnosis, Computer-Assisted; Electrocardiography; History, 20th Century; Humans; Signal Processing, Computer-Assisted; Statistics as Topic;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.932724
  • Filename
    932724