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作者:

Yuan, Li (Yuan, Li.) | Yuan, Yanchao (Yuan, Yanchao.) | Zhou, Zhuhuang (Zhou, Zhuhuang.) | Bai, Yanping (Bai, Yanping.) | Wu, Shuicai (Wu, Shuicai.) (学者:吴水才)

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摘要:

In this paper, a fetal electrocardiogram (ECG) monitoring system based on the Android smartphone was proposed. We designed a portable low-power fetal ECG collector, which collected maternal abdominal ECG signals in real time. The ECG data were sent to a smartphone client via Bluetooth. Smartphone app software was developed based on the Android system. The app integrated the fast fixed-point algorithm for independent component analysis (FastICA) and the sample entropy algorithm, for the sake of real-time extraction of fetal ECG signals from the maternal abdominal ECG signals. The fetal heart rate was computed using the extracted fetal ECG signals. Experimental results showed that the FastICA algorithm can extract a clear fetal ECG, and the sample entropy can correctly determine the channel where the fetal ECG is located. The proposed fetal ECG monitoring system may be feasible for non-invasive, real-time monitoring of fetal ECGs.

关键词:

Android smartphone fast fixed-point algorithm for independent component analysis (FastICA) fetal electrocardiogram (ECG) non-invasive monitoring wearable ECG collector

作者机构:

  • [ 1 ] [Yuan, Li]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 2 ] [Yuan, Yanchao]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 3 ] [Zhou, Zhuhuang]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 4 ] [Bai, Yanping]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 5 ] [Wu, Shuicai]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

通讯作者信息:

  • 吴水才

    [Wu, Shuicai]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

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来源 :

SENSORS

ISSN: 1424-8220

年份: 2019

期: 3

卷: 19

3 . 9 0 0

JCR@2022

ESI学科: CHEMISTRY;

ESI高被引阀值:66

JCR分区:2

被引次数:

WoS核心集被引频次: 28

SCOPUS被引频次: 32

ESI高被引论文在榜: 0 展开所有

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