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author:

Wang, Liang-Hung (Wang, Liang-Hung.) [1] (Scholars:王量弘) | 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 Scopus SCIE

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.

Keyword:

Bluetooth low energy (BLE) electrocardiogram (ECG)-sensing electrodes lossless compression algorithm

Community:

  • [ 1 ] [Wang, Liang-Hung]Fuzhou Univ, Dept Microelect, Coll Phys & Informat Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 2 ] [Zhang, Zong-Heng]Fuzhou Univ, Dept Microelect, Coll Phys & Informat Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 3 ] [Tsai, Wen-Ping]Fuzhou Univ, Dept Microelect, Coll Phys & Informat Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 4 ] [Huang, Pao-Cheng]Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou 350002, Fujian, Peoples R China
  • [ 5 ] [Abu, Patricia Angela R.]Ateneo Manila Univ, Dept Informat Syst & Comp Sci, 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 Discipline: ENGINEERING;

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 9

SCOPUS Cited Count: 14

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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