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author:

Wang, Liang-Hung (Wang, Liang-Hung.) [1] | Zhang, Zong-Heng (Zhang, Zong-Heng.) [2] | Tsai, Wen-Ping (Tsai, Wen-Ping.) [3] | Huang, Pao-Cheng (Huang, Pao-Cheng.) [4] | Abu, Patricia Angela R. (Abu, Patricia Angela R..) [5]

Indexed by:

EI

Abstract:

This study proposes a low-power wearable electrocardiogram (ECG) acquisition system for monitoring human health in daily life. A flexible sensing electrode was designed to replace traditional silver-silver chloride (Ag/AgCl) electrodes for measuring ECG signals from leads I, II, and V1. The traditional multi-lead-wired ECG detector limits the movements and activities of the patient and requires medical staff to assist in collecting ECG signals. The portable ECG acquisition device proposed in this article is not only comfortable to wear but also convenient for patients to use anytime, anywhere. To increase the sampling rate of the device to obtain more ECG signal information, this study proposes an innovative Huffman lossless ECG data compression algorithm based on variable-word length coding (VLC). This algorithm can efficiently realize data compression and reduce power consumption. It makes the whole system operate continuously for a long period of time and acquire abundant ECG information, which is helpful for clinical diagnosis. Experimental results show that when the sampling rate is 400 Hz, the working current is only 3.64 mA, and the compression ratio (CR) of the device can reach 2.38. © 2001-2012 IEEE.

Keyword:

Bioinformatics Biomedical signal processing Bluetooth Body sensor networks Chlorine compounds Electrocardiograms Electrodes Embedded systems Interactive computer systems mHealth Patient monitoring Polyvinyl chlorides Real time systems Signal encoding Silver halides Wearable sensors

Community:

  • [ 1 ] [Wang, Liang-Hung]Fuzhou University, College of Physics and Information Engineering, Department of Microelectronics, Fuzhou; 350108, China
  • [ 2 ] [Zhang, Zong-Heng]Fuzhou University, College of Physics and Information Engineering, Department of Microelectronics, Fuzhou; 350108, China
  • [ 3 ] [Tsai, Wen-Ping]Fuzhou University, College of Physics and Information Engineering, Department of Microelectronics, Fuzhou; 350108, China
  • [ 4 ] [Huang, Pao-Cheng]Fujian Agriculture and Forestry University, College of Computer and Information Sciences, Fujian; 350002, China
  • [ 5 ] [Abu, Patricia Angela R.]Ateneo de Manila University, Department of Information Systems and Computer Science, Quezon City; 1108, Philippines

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Source :

IEEE Sensors Journal

ISSN: 1530-437X

Year: 2022

Issue: 18

Volume: 22

Page: 18045-18055

4 . 3

JCR@2022

4 . 3 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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