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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Journal ArticleDOI
A Real-Time QRS Detection Algorithm Based on Energy Segmentation for Exercise Electrocardiogram
TL;DR: A simple-fast QRS detection algorithm based on energy segmentation is proposed, which is suitable for exercise ECG measured by the wearable monitoring device and performs well even under ECG signal contaminated by strong motion artifacts.
Journal ArticleDOI
Optimization of Multi-Layer Perceptron Neural Network Using Genetic Algorithm for Arrhythmia Classification
V. S. R. Kumari,P. Rajesh Kumar +1 more
TL;DR: This study proposes multi-layer perceptron neural network optimization using Genetic Algorithm (GA) to classify ECG arrhythmia.
Proceedings ArticleDOI
A Survey on Machine Learning Approaches to ECG Processing
Javier Hoffmann,Safdar Mahmood,Priscile Suawa Fogou,Nevin George,Solaiman Raha,Sabur Safi,Kurt Jg Schmailzl,Marcelo Brandalero,Michael Hübner +8 more
TL;DR: An opportunity for the development of novel embedded architectures that could enable the continuous monitoring of ECG signals is identified and emerging technologies that could help in paving the way towards that are identified.
Journal ArticleDOI
Intelligent Exercise Guidance System Based on Smart Clothing
TL;DR: An intelligent exercise guidance system based on smart clothing that comprised smart clothing for electrocardiogram (ECG) signal acquisition and heart rate (HR) monitoring, an exercise control application program, and a cloud server was designed and developed.
Journal ArticleDOI
Artificial intelligence for a personalized diagnosis and treatment of atrial fibrillation.
Ana María Sánchez de la Nava,Ana María Sánchez de la Nava,Ana María Sánchez de la Nava,Felipe Atienza,Felipe Atienza,Felipe Atienza,Javier Bermejo,Javier Bermejo,Javier Bermejo,Francisco Fernández-Avilés,Francisco Fernández-Avilés,Francisco Fernández-Avilés +11 more
TL;DR: Although atrial fibrillation (AF) is the most common arrhythmia, its early identification, diagnosis, and treatment is still challenging due to its heterogeneous mechanisms and risk factor as mentioned in this paper.
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