Journal ArticleDOI
The impact of the MIT-BIH Arrhythmia Database
George B. Moody,Roger G. Mark +1 more
TLDR
The history of the database, its contents, what is learned about database design and construction, and some of the later projects that have been stimulated by both the successes and the limitations of the MIT-BIH Arrhythmia Database are reviewed.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.read more
Citations
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Validation and verification of the task force ® monitor
J. Fortin,G. Haitchi,A. Bojic,W. Habenbacher,R. Grüllenberger,A. Heller,R. Pacher,P. Wach,F. Skrabal +8 more
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Proceedings ArticleDOI
Inter-Patient ECG Classification Using Deep Convolutional Neural Networks
TL;DR: This paper is focusing on inter-patient arrhythmia classification, where separate patient data is used in training and test phase, and the results from the fully automatic feature learning approach are on par with solutions that require manual feature engineering.
Proceedings ArticleDOI
Arrhythmia Detection Using MIT-BIH Dataset: A Review
TL;DR: A survey is carried out over various methods such as SVM, Neural networks, Wavelet transforms, etc focused to perform arrhythmia detection especially using MIT-BIH database.
Journal ArticleDOI
Trends and Focus of Machine Learning Applications for Health Research.
Brett K. Beaulieu-Jones,Samuel G. Finlayson,Corey Chivers,Irene Y. Chen,Matthew B. A. McDermott,J. Kandola,Adrian V. Dalca,Adrian V. Dalca,Andrew L. Beam,Madalina Fiterau,Tristan Naumann +10 more
TL;DR: This qualitative study analyzes submissions to a popular machine learning for health workshop to assess the current state of health research, including areas of methodologic and clinical focus, limitations, and underexplored areas.
Journal ArticleDOI
Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study.
Travis J. Moss,Matthew T. Clark,James Forrest Calland,Kyle B. Enfield,John D. Voss,Douglas E. Lake,J. Randall Moorman +6 more
TL;DR: Cardiorespiratory dynamics from continuous ECG monitoring detect clinical deterioration in acute care patients and improve performance of conventional models that use only laboratory results and vital signs.
References
More filters
Journal ArticleDOI
New method for heart studies.
TL;DR: Electrocardiography is proposed to be implemented by the use of long-period, continuous recording of heart potentials with a portable, self-contained instrument together with semiautomatic methods for the rapid analysis of the resulting voluminous data.
Proceedings ArticleDOI
The MIT-BIH Arrhythmia Database on CD-ROM and software for use with it
George B. Moody,Roger G. Mark +1 more
TL;DR: A compact-disk ROM containing the Massachusetts Institute of Technology (MIT)-Boston's Beth Israel Hospital (BIH) Arrhythmia Database as well as a large number of supplementary recordings assembled for various research projects was produced.
Journal ArticleDOI
PhysioNet: a Web-based resource for the study of physiologic signals
TL;DR: What PhysioNet offers to researchers is discussed, some of the technology needed to support these functions are described, and observations gleaned from the organisation's first year of service are concluded.
Proceedings ArticleDOI
The European ST-T database: development, distribution and use
Antonio Taddei,Andrea Biagini,G. Distante,Michele Emdin,Mazzei Mg,P. Pisani,N. Roggero,Maurizio Varanini,Roger G. Mark,George B. Moody,L. Braaksma,C. Zeelenberg,Carlo Marchesi +12 more
TL;DR: The European project for the development of an ST-T annotated database originated from the 'Concerted Action' on ambulatory monitoring, set up by the European Community in 1985 and includes more than 200 ST segment and almost 300 T-wave changes.
Proceedings ArticleDOI
A long-term ST database for development and evaluation of ischemia detectors
Franc Jager,George B. Moody,Antonio Taddei,G. Antolic,Michele Emdin,A. Smrdel,B. Glavic,Carlo Marchesi,Roger G. Mark +8 more
TL;DR: The authors present the selection criteria for records, an annotation protocol with definitions of transient ST events, interactive graphic tools for manual and automatic annotating, and the annotation procedure.