An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification-Reference-Cited by-同舟云学术

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An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification

Published:2019-12-18 Issue:2 Volume:44 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Wang Haoren,Shi Haotian,Chen Xiaojun,Zhao Liqun,Huang Yixiang,Liu Chengliang

Funder

Key Technologies Research and Development Program

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-019-1511-2.pdf

Reference33 articles.

1. United Nations. Department of economic and social affairs population division. World population aging 2015. New York, 2015.

2. Tekeste, T. et al., Ultra-low power QRS detection and ECG compression architecture for IoT healthcare devices. IEEE Transactions on Circuits and Systems I: Regular Papers 66(2):669–679, 2019.

3. Beach, C. et al., An ultra low power Personalizable wrist worn ECG monitor integrated with IoT infrastructure. IEEE Access 6:44010–44021, 2018.

4. Martis, R. J. et al., Computer aided diagnosis of atrial arrhythmia using dimensionality reduction methods on transform domain representation. Biomedical Signal Processing and Control 13(1):295–305, 2014.

5. Martis, R. J. et al., Application of higher order statistics for atrial arrhythmia classification. Biomedical Signal Processing and Control 8(6):888–900, 2013.

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