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doi.org/10.1016/j.compbiomed.2019.04.009
Other
ECG anomaly class identification using LSTM and error profile modeling
Sucheta Chauhan
5
,
Lovekesh Vig
20
,
Shandar Ahmad
28
View all 3 authors
Computers in Biology and Medicine
7.00
Volume: 109, Pages: 14 - 21
Published
: Apr 16, 2019
36
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Paper Fields
Support vector machine
Left bundle branch block
Physics
Data mining
Logistic regression
Computer science
Multilayer perceptron
Artificial neural network
Medicine
Anomaly (physics)
Artificial intelligence
Perceptron
Anomaly detection
Pattern recognition (psychology)
Internal medicine
Condensed matter physics
Heart failure
Machine learning
Ventricular tachycardia
Paper Details
Title
ECG anomaly class identification using LSTM and error profile modeling
DOI
doi.org/10.1016/j.compbiomed.2019.04.009
Published Date
Apr 16, 2019
Journal
Computers in Biology and Medicine
Volume
109
Pages
14 - 21
Notes
History
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