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Journal ArticleDOI

The impact of the MIT-BIH Arrhythmia Database

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.

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Citations
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Proceedings ArticleDOI

ECG beat classification using wavelets and SVM

TL;DR: In this article, a wavelet decomposition using daubechies 4 wavelet is done to extract 25 features for each beat from wavelet analysis, namely - mean, variance, standard deviation, minimum and maximum of detail coefficients and approximation coefficients.
Journal ArticleDOI

Usefulness of Machine Learning-Based Detection and Classification of Cardiac Arrhythmias With 12-Lead Electrocardiograms.

TL;DR: The feasibility and effectiveness of the deep-learning LSTM model for interpreting 12 common heart rhythms according to 12-lead ECG signals are demonstrated and may have clinical relevance for the early diagnosis of cardiac rhythm disorders.
Journal ArticleDOI

Temporal convolutional autoencoder for unsupervised anomaly detection in time series

TL;DR: TCN-AE, a temporal convolutional network autoencoder based on dilated convolutions significantly outperforms several other unsupervised state-of-the-art anomaly detection algorithms and investigates the contribution of the individual enhancements and shows that each new ingredient improves the overall performance on the investigated benchmark.
Journal ArticleDOI

A comparison of three QRS detection algorithms over a public database

TL;DR: This work brings the community the source code of each algorithm and results of its validation over a public database, developed as a framework in order to permit the inclusion of new QRS detection algorithms and also its testing over different databases.
Journal ArticleDOI

Adaptive Motion Artifact Reduction Based on Empirical Wavelet Transform and Wavelet Thresholding for the Non-Contact ECG Monitoring Systems

TL;DR: An ECG motion artifact removal approach based on empirical wavelet transform (EWT) and wavelet thresholding (WT) is proposed and is feasible for reducing motion artifacts from ECG signals, whether from simulation ECGs signals or practical non-contact ECG monitoring systems.
References
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Journal ArticleDOI

New method for heart studies.

Norman J. Holter
- 20 Oct 1961 - 
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

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

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

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.
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