The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Mobile ECG Measurement System Design with Fetal ECG Extraction Capability

태아 ECG 추출 기능을 가지는 모바일 심전도 측정 시스템 설계

  • Choi, Chul-Hyung (Dept. of Electrical and Electronic control Engineering, Kongju University) ;
  • Kim, Young-Pil (Dept. of Electrical and Electronic control Engineering, Kongju University) ;
  • Kim, Si-Kyung (Dept. of Electrical and Electronic control Engineering, Kongju University) ;
  • You, Jeong-Bong (Dept. of Electrical and Electronic control Engineering, Kongju University) ;
  • Seo, Bong-Gyun (HB-Tech)
  • Received : 2016.08.12
  • Accepted : 2017.01.04
  • Published : 2017.02.01
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Abstract

In this paper, the abdomen ECG(AECG) is employed to measure the mother's ECG instead of the conventioanl thoracic ECG measurement. The fetus ECG signal can be extracted from the AECG using an algorithm that utilizes the mobile fetal ECG measurement platform, which is based on the BLE (Bluetooth Low Energy). The algorithm has been implemented by using a replacement processor processed directly from the platform BLE instead of the large statistical data processing required in the ICA(Independent component analysis). The proposed algorithm can be implemented on a mobile BLE wireless ECG system hardware platform to process the maternal ECG. Wireless technology can realize a compact, low-power radio system for short distance communication and the IOT(Intenet of Things) enables the transmission of real-time ECG data. It was also implemented in the form of a compact module in order for mothers to be able to download and store the collected ECG data without having to interrupt or move the logger, and later link the module to a computer for downloading and analyzing the data. A mobile ECG measurement prototype is manufactured and tested to measure the FECG for pregnant women. The experimental results verify a real-time FECG extraction capability for the proposed system. In this paper, we propose an ECG measurement system that shows approximately 91.65% similarity to the MIT database and the conventional algorithm and SNR performance about 10% better.

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References

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