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
More filters
Journal ArticleDOI
Diagnosis of multiclass tachycardia beats using recurrence quantification analysis and ensemble classifiers
Usha Desai,Usha Desai,Roshan Joy Martis,U. Rajendra Acharya,U. Rajendra Acharya,U. Rajendra Acharya,C. Gurudas Nayak,C. Gurudas Nayak,G. Seshikala,Ranjan Shetty K +9 more
TL;DR: Recurrence Quantification Analysis (RQA) features are applied for classifying four classes of ECG beats namely Normal Sinus Rhythm (NSR), A-F fib, AFL and V-Fib using ensemble classifiers.
Journal ArticleDOI
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
TL;DR: In this article, a two-dimensional convolutional neural network (2-D) model was proposed for the classification of ECG signals into eight classes; namely, normal beat, premature ventricular contraction, paced beat, right bundle branch block beat, left bundle branch blocks beat, atrial premature contraction, ventricular flutter wave beat, and ventricular escape beat.
Journal ArticleDOI
Hiding Patients Confidential Datainthe ECG Signal viaa Transform-Domain Quantization Scheme
TL;DR: In this paper, the authors used quantization based digital watermark encryption technology on the Electrocardiogram (ECG) to protect patient rights and information, which is the most widely used technology in the field of copyright and biological information protection.
Journal ArticleDOI
TranAD
TL;DR: TranAD is proposed, a deep transformer network based anomaly detection and diagnosis model which uses attention-based sequence encoders to swiftly perform inference with the knowledge of the broader temporal trends in the data.
Journal ArticleDOI
A 1.06- $\mu$ W Smart ECG Processor in 65-nm CMOS for Real-Time Biometric Authentication and Personal Cardiac Monitoring
Shihui Yin,Minkyu Kim,Deepak Kadetotad,Liu Yang,Chisung Bae,Sang Joon Kim,Yu Cao,Jae-sun Seo +7 more
TL;DR: A smart wearable electrocardiographic (ECG) processor is presented for secure ECG-based biometric authentication and cardiac monitoring, including arrhythmia and anomaly detection, using data-driven Lasso regression and low-precision techniques.
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.