Zheng_2017_5.pdf (1.72 MB)
Comparison of electrohysterogram signal measured by surface electrodes with different designs: A computational study with dipole band and abdomen models
journal contribution
posted on 2023-07-26, 14:14 authored by Pei Gao, Dongmei Hao, Yang An, Ying Wang, Qian Qiu, Lin Yang, Yimin Yang, Song Zhang, Xuwen Li, Dingchang ZhengNon-invasive measurement of uterine activity using electrohysterogram (EHG) surface electrodes has been attempted to monitor uterine contraction. This study aimed to computationally compare the performance of acquiring EHG signals using monopolar electrode and three types of Laplacian concentric ring electrodes (bipolar, quasi-bipolar and tri-polar). With the implementation of dipole band model and abdomen model, the performances of four electrodes in terms of the local sensitivity were quantifed by potential attenuation. Furthermore, the efects of fat and muscle thickness on potential attenuation were evaluated using the bipolar and tri-polar electrodes with diferent radius. The results showed that all the four types of electrodes detected the simulated EHG signals with consistency. That the bipolar and tri-polar electrodes had greater attenuations than the others, and the shorter distance between the origin and location of dipole band at 20dB attenuation, indicating that they had relatively better local sensitivity. In addition, ANOVA analysis showed that, for all the electrodes with diferent outer ring radius, the efects of fat and muscle on potential attenuation were signifcant (all p<0.01). It is therefore concluded that the bipolar and tri-polar electrodes had higher local sensitivity than the others, indicating that they can be applied to detect EHG efectively.
History
Refereed
- Yes
Volume
7Issue number
17282Publication title
Scientific ReportsISSN
2045-2322External DOI
Publisher
Nature ResearchFile version
- Published version
Language
- eng
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Legacy posted date
2018-01-02Legacy creation date
2017-12-22Legacy Faculty/School/Department
ARCHIVED Faculty of Medical Science (until September 2018)Usage metrics
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