ECG Auto-analyzing System on Android for 3AHcare Node

DOI

10.2991/iccnce.2013.96How to use a DOI?

Keywords

ECG, Android, 3AHcare Node, ECG analyzing, ECG classification.

Abstract

ECG (Electrocardiograph) is the primary method for cardiovascular disease detection. The main purpose of this research work is to develop an ECG auto-analyzing system on Android platform for 3AHcare Node. 3AHcare Node is a health monitoring device developed by IECAS, and ECG auto-analyzing system analyzes the ECG signal detected by 3AHcare Node in real time. The ECG auto-analyzing system consists of two parts: the detection part and the diagnose part. In the detection part, the noise is eliminated first,, and then the feature parameters, such as R peak, RR interval, QRS width and RR rhythm etc are extracted. The diagnose part is used to classify the ECG signal into three categories: the PVC (Premature Ventricular Contraction), NORMAL and UNKNOWN, at last, give primary diagnose suggestions for users. The ECG auto-analyzing system was first measured with data from MIT/BIH Arrhythmia Database, and then modified and tested by ECG data detected with our 3AHcare Node.

Copyright

© 2013, 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/).

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TY  - CONF
AU  - Huan Jin
AU  - Zhen Fang
AU  - Xianxiang Chen
AU  - Zhan Zhao
AU  - ZhiHong Xu
AU  - DongDong Lou
AU  - XingZu Guo
PY  - 2013/07
DA  - 2013/07
TI  - ECG Auto-analyzing System on Android for 3AHcare Node
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 384
EP  - 387
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.96
DO  - 10.2991/iccnce.2013.96
ID  - Jin2013/07
ER  -