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author:

Chi, Bohao (Chi, Bohao.) [1] | Jiang, Hao (Jiang, Hao.) [2] | Qian, Hui (Qian, Hui.) [3] (Scholars:钱慧) | Feng, Chenhui (Feng, Chenhui.) [4]

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EI PKU

Abstract:

The current portable ECG acquisition system needs analog to digital conversion module, which has low power consumption and high resolution. Although the analog to information converter (AIC) based on pulse width modulation can effectively reduce the sampling rate of the system, the quantization part of the conversion clock is proportional to the quantization accuracy. Therefore, there is a problem of high power consumption. In this study, a precision adjustable time to digital conversion (TDC) module based on the power entropy is proposed, which is based on the energy imbalance of ECG signal. The energy maximization is taken as the basic principle of design. The minimum quantization accuracy of system observation vector is determined by analyzing the power spectrum entropy of ECG signal. In this way, the optimal design of AIC time coding system is achieved. Experimental results show that this method can reduce 80% TDC clock dynamic reversal while sampling ECG signals under the conditions of compression ratio of 4, SNR of 38.91 dB and reconstruction accuracy of 0.36%. Therefore, the power consumption can be reduced effectively. © 2021, Science Press. All right reserved.

Keyword:

Clocks Digital to analog conversion Electric power utilization Electrocardiography Entropy Quantization (signal) Signal to noise ratio Vector quantization Voltage control

Community:

  • [ 1 ] [Chi, Bohao]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Jiang, Hao]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Qian, Hui]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Feng, Chenhui]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China

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Source :

Chinese Journal of Scientific Instrument

ISSN: 0254-3087

Year: 2021

Issue: 3

Volume: 42

Page: 213-220

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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