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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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A Committee Machine Approach for Compressed Sensing Signal Reconstruction

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Bayesian LSTMs in medicine.

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Energy Efficient Fog based Healthcare Monitoring Infrastructure

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Proceedings ArticleDOI

Unsupervised Domain Adaptation for ECG Arrhythmia Classification

TL;DR: This paper proposes a robust baseline model called Multi-path Atrous Convolutional Network (MACN) to tackle ECG heartbeat classification and introduces Cluster-aligning loss and Cluster-separating loss to align the distributions of training and test data and increase the discriminability.
Journal ArticleDOI

Automatic digital ECG signal extraction and normal QRS recognition from real scene ECG images.

TL;DR: The proposed method in this article is a promising tool for automatically extracting digital ECG signals and detecting QRS complex in real scene ECG images with normal QRS.
References
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Journal ArticleDOI

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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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