Heartbeat Recognition from ECG Signals Using Hidden Markov Model with Adaptive Features-Reference-Cited by-同舟云学术

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Heartbeat Recognition from ECG Signals Using Hidden Markov Model with Adaptive Features

Published:2013-07 Issue: Volume: Page:
ISSN:
Container-title:2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
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Author:

Pan Shing-Tai,Wu Yi-Heng,Kung Yi-Lan,Chen Hung-Chin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6598367/6598425/06598524.pdf?arnumber=6598524

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fall Detection via Inaudible Acoustic Sensing;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2021-09-09

2. A cascaded step-temporal attention network for ECG arrhythmia classification;2020 International Joint Conference on Neural Networks (IJCNN);2020-07

3. Deep neural network based approach for ECG classification using hybrid differential features and active learning;IET Signal Processing;2019-04

4. Deep Multiview Heartwave Authentication;IEEE Transactions on Industrial Informatics;2019-02

5. Heartrate-Dependent Heartwave Biometric Identification With Thresholding-Based GMM–HMM Methodology;IEEE Transactions on Industrial Informatics;2019-01

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