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
Generalization of Convolutional Neural Networks for ECG Classification Using Generative Adversarial Networks
TL;DR: This work proposes a novel data-augmentation technique using generative adversarial networks (GANs) to restore the balance of the MIT-BIH arrhythmia dataset, and demonstrates that augmenting the heartbeats using GANs outperforms other common data augmentation techniques.
Journal ArticleDOI
An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram
TL;DR: The results show that the classification performance of the proposed approach outperforms the most of the state-of-the-art methods.
Journal ArticleDOI
On handling negative transfer and imbalanced distributions in multiple source transfer learning
TL;DR: Zhang et al. as mentioned in this paper proposed a two-phase framework to effectively transfer knowledge from multiple sources even when there exists irrelevant sources and imbalanced class distributions, where the first phase assigns a proper weight to each source domain's classifier based on its ability of predicting accurately on each local region of the target domain.
Journal ArticleDOI
Computer aided diagnosis of atrial arrhythmia using dimensionality reduction methods on transform domain representation
Roshan Joy Martis,U. Rajendra Acharya,U. Rajendra Acharya,Hojjat Adeli,Hari Prasad,Jen Hong Tan,Kuang Chua Chua,Chea Loon Too,Sharon Yeo,Louis Tong +9 more
TL;DR: The proposed automated diagnosis system for automatic detection of the normal, AF and AFL beats of ECG provides high reliability to be used by clinicians and can be extended for detection of other abnormalities of heart and to other physiological signals.
Journal ArticleDOI
Automated Removal of EKG Artifact From EEG Data Using Independent Component Analysis and Continuous Wavelet Transformation
Mehdi Bagheri Hamaneh,Numthip Chitravas,Kitti Kaiboriboon,Samden D. Lhatoo,Kenneth A. Loparo +4 more
TL;DR: The proposed method, which uses combines independent component analysis and continuous wavelet transformation, uses both temporal and spatial characteristics of EKG related potentials to identify and remove the artifacts.
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