• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Zhang, Yajun (Zhang, Yajun.) | Hao, Dongmei (Hao, Dongmei.) (Scholars:郝冬梅) | Yang, Lin (Yang, Lin.) | Zhou, Xiya (Zhou, Xiya.) | Ye-Lin, Yiyao (Ye-Lin, Yiyao.) | Yang, Yimin (Yang, Yimin.)

Indexed by:

EI Scopus SCIE

Abstract:

Electrohysterogram (EHG) is a promising method for noninvasive monitoring of uterine electrical activity. The main purpose of this study was to characterize the multichannel EHG signals to distinguish between term delivery and preterm birth, as well as deliveries within and beyond 24 h. A total of 219 pregnant women were grouped in two ways: (1) term delivery (TD), threatened preterm labor (TPL) with the outcome of preterm birth (TPL_PB), and TPL with the outcome of term delivery (TPL_TD); (2) EHG recording time to delivery (TTD) <= 24 h and TTD > 24 h. Three bipolar EHG signals were analyzed for the 30 min recording. Six EHG features between multiple channels, including multivariate sample entropy, mutual information, correlation coefficient, coherence, direct partial Granger causality, and direct transfer entropy, were extracted to characterize the coupling and information flow between channels. Significant differences were found for these six features between TPL and TD, and between TTD <= 24 h and TTD > 24 h. No significant difference was found between TPL_PB and TPL_TD. The results indicated that EHG signals of TD were more regular and synchronized than TPL, and stronger coupling between multichannel EHG signals was exhibited as delivery approaches. In addition, EHG signals propagate downward for the majority of pregnant women regardless of different labors. In conclusion, the coupling and propagation features extracted from multichannel EHG signals could be used to differentiate term delivery and preterm birth and may predict delivery within and beyond 24 h.

Keyword:

features term delivery electrohysterogram time to delivery preterm birth

Author Community:

  • [ 1 ] [Zhang, Yajun]Beijing Univ Technol, Beijing Int Sci & Technol Cooperat Base Intellige, Fac Environm & Life, Beijing 100124, Peoples R China
  • [ 2 ] [Hao, Dongmei]Beijing Univ Technol, Beijing Int Sci & Technol Cooperat Base Intellige, Fac Environm & Life, Beijing 100124, Peoples R China
  • [ 3 ] [Yang, Lin]Beijing Univ Technol, Beijing Int Sci & Technol Cooperat Base Intellige, Fac Environm & Life, Beijing 100124, Peoples R China
  • [ 4 ] [Yang, Yimin]Beijing Univ Technol, Beijing Int Sci & Technol Cooperat Base Intellige, Fac Environm & Life, Beijing 100124, Peoples R China
  • [ 5 ] [Zhou, Xiya]Peking Union Med Coll Hosp, Dept Obstet, Beijing 100730, Peoples R China
  • [ 6 ] [Ye-Lin, Yiyao]Univ Politecn Valencia, Ctr Invest Innovac Bioingn, Valencia 46022, Spain

Reprint Author's Address:

Show more details

Related Keywords:

Source :

SENSORS

Year: 2022

Issue: 9

Volume: 22

3 . 9

JCR@2022

3 . 9 0 0

JCR@2022

ESI Discipline: CHEMISTRY;

ESI HC Threshold:53

JCR Journal Grade:2

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Affiliated Colleges:

Online/Total:1005/10686422
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.