Research on the Diagnosis Algorithm of ECG

DOI

10.2991/icsehr-17.2017.42How to use a DOI?

Keywords

ECG; BPNN; Multi-level Classification; Algorithm

Abstract

In this paper, through the research of previous research on ECG diagnosis process, preprocessing method proposed multi order classification algorithm of BP neural network and De-noising and sampling frequency conversion, combined with the waveform feature extraction method, the recognition rate is obviously improved, the diagnosis is more accurate.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Zhang Yamei
PY  - 2017/12
DA  - 2017/12
TI  - Research on the Diagnosis Algorithm of ECG
BT  - Proceedings of the 2017 International Conference on Social science, Education and Humanities Research (ICSEHR 2017)
PB  - Atlantis Press
SP  - 166
EP  - 169
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsehr-17.2017.42
DO  - 10.2991/icsehr-17.2017.42
ID  - Yamei2017/12
ER  -