Study on the quality evaluation of electrocardiogram signal in wearable physiological monitoring system.
10.7507/1001-5515.201909012
- Author:
Ning HAN
1
;
Ke LAN
2
;
Yuezhou ZHANG
2
;
Tao WAN
3
;
Zhengbo ZHANG
4
,
5
,
6
;
Deshen CAO
4
,
7
;
Wei YAN
8
Author Information
1. Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing 100853, P.R.China.
2. SensEcho Co, Ltd, Beijing 110000, P.R.China.
3. College of Biological and Medical Engineering, BeihangUniversity, Beijing 100091, P.R.China.
4. Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing 100853, P.R.China
5. Medical Device R&D and Evaluation Center, Chinese PLA General Hospital, Beijing 100853, P.R.China
6. Medical Big Data Center, Chinese PLA General Hospital, Beijing 100853, P.R.China.
7. Medical Device R&D and Evaluation Center, Chinese PLA General Hospital, Beijing 100853, P.R.China.
8. Department of Hyperbaric Oxygen, Chinese PLA General Hospital, Beijing 100853, P.R.China.
- Publication Type:Journal Article
- Keywords:
electrocardiogram signal;
evaluation algorithm;
signal quality;
wearable physiological monitoring system
- MeSH:
Algorithms;
Electrocardiography;
Electrocardiography, Ambulatory;
Humans;
Pilot Projects;
Signal Processing, Computer-Assisted;
Wearable Electronic Devices
- From:
Journal of Biomedical Engineering
2021;38(1):131-137
- CountryChina
- Language:Chinese
-
Abstract:
As a novel technology, wearable physiological parameter monitoring technology represents the future of monitoring technology. However, there are still many problems in the application of this kind of technology. In this paper, a pilot study was conducted to evaluate the quality of electrocardiogram (ECG) signals of the wearable physiological monitoring system (SensEcho-5B). Firstly, an evaluation algorithm of ECG signal quality was developed based on template matching method, which was used for automatic and quantitative evaluation of ECG signals. The algorithm performance was tested on a randomly selected 100 h dataset of ECG signals from 100 subjects (15 healthy subjects and 85 patients with cardiovascular diseases). On this basis, 24-hour ECG data of 30 subjects (7 healthy subjects and 23 patients with cardiovascular diseases) were collected synchronously by SensEcho-5B and ECG Holter. The evaluation algorithm was used to evaluate the quality of ECG signals recorded synchronously by the two systems. Algorithm validation results: sensitivity was 100%, specificity was 99.51%, and accuracy was 99.99%. Results of controlled test of 30 subjects: the median (Q1, Q3) of ECG signal detected by SensEcho-5B with poor signal quality time was 8.93 (0.84, 32.53) minutes, and the median (Q1, Q3) of ECG signal detected by Holter with poor signal quality time was 14.75 (4.39, 35.98) minutes (Rank sum test,
