Title | ||
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High-Performance Personalized Heartbeat Classification Model for Long-Term ECG Signal. |
Abstract | ||
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Long-term electrocardiogram (ECG) has become one of the important diagnostic assist methods in clinical cardiovascular domain. Long-term ECG is primarily used for the detection of various cardiovascular diseases that are caused by various cardiac arrhythmia such as myocardial infarction, cardiomyopathy, and myocarditis. In the past few years, the development of an automatic heartbeat classificatio... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TBME.2016.2539421 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Graphics processing units,Heart beat,Electrocardiography,Feature extraction,Neural networks,Instruction sets,Smoothing methods | Online learning,Heartbeat,Medical instrumentation,Computer science,Cardiac arrhythmia,Feature extraction,Artificial intelligence,Heart rate,Electrocardiography,Artificial neural network,Machine learning | Journal |
Volume | Issue | ISSN |
64 | 1 | 0018-9294 |
Citations | PageRank | References |
8 | 0.43 | 15 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pengfei Li | 1 | 8 | 0.43 |
Yu Wang | 2 | 167 | 15.47 |
Jiangchun He | 3 | 8 | 0.43 |
Lihua Wang | 4 | 8 | 0.43 |
Yu Tian | 5 | 104 | 3.39 |
Tian-Shu Zhou | 6 | 182 | 10.18 |
Tian-Chang Li | 7 | 8 | 0.43 |
Jing-Song Li | 8 | 222 | 11.02 |