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A Fetal ECG Monitoring System Based on the Android Smartphone.
Yuan, Li; Yuan, Yanchao; Zhou, Zhuhuang; Bai, Yanping; Wu, Shuicai.
  • Yuan L; College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. 18811712052@163.com.
  • Yuan Y; College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. yuanyc798@163.com.
  • Zhou Z; College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. zhouzh@bjut.edu.cn.
  • Bai Y; College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. baiyanping@bjut.edu.cn.
  • Wu S; College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. wushuicai@bjut.edu.cn.
Sensors (Basel) ; 19(3)2019 Jan 22.
Article en En | MEDLINE | ID: mdl-30678252
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos / Electrocardiografía / Monitoreo Fetal / Teléfono Inteligente Límite: Female / Humans / Pregnancy Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos / Electrocardiografía / Monitoreo Fetal / Teléfono Inteligente Límite: Female / Humans / Pregnancy Idioma: En Año: 2019 Tipo del documento: Article