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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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Remote ECG Monitoring Kit to Predict Patient-Specific Heart Abnormalities

TL;DR: This prototype for patient-specific heart monitoring kit is developed, which learns the properties of a patient’s normal ECG signal over time and reports significant deviations from this normal behavior, in addition to presenting significant violations from the global norms.
Proceedings ArticleDOI

AAMI Standard Cardiac Arrhythmia Detection with Random Forest Using Mixed Features

TL;DR: An essential and specific arrhythmias are identified and classified using electrocardiogram (ECG) signal based on association for the advancement of medical instrumentation (AAMI) standard.
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Set-Based Discriminative Measure for Electrocardiogram Beat Classification.

TL;DR: A novel approach is proposed, named “Set-Based Discriminative Measure”, which first learns a discriminative metric space to ensure that intra- class distances are smaller than inter-class distances for ECG features in a global way, and then measures a new set-based dissimilarity in such learned space to cope with the local variation of samples.
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Novel human computer interaction principles for cardiac feedback using google glass and Android wear

TL;DR: This work presents a system for unobtrusive cardiac feedback in daily life that addresses the whole pipeline from data acquisition over data processing to data visualization including wearable integration.
Journal ArticleDOI

Backpropagation With Sparsity Regularization for Spiking Neural Network Learning

TL;DR: A sparsity-driven SNN learning algorithm, namely backpropagation with sparsity regularization (BPSR), aiming to achieve improved spiking and synaptic sparsity is proposed, which demonstrates that the network learned by BPSR hasaptic sparsity and is highly similar to the biological system.
References
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Journal ArticleDOI

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Norman J. Holter
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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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