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Author:

Han, Qiao (Han, Qiao.) | Hao, Dongmei (Hao, Dongmei.) (Scholars:郝冬梅) | Yang, Lin (Yang, Lin.) | Yang, Yimin (Yang, Yimin.) | Li, Guangfei (Li, Guangfei.)

Indexed by:

EI Scopus SCIE

Abstract:

Fetal movement (FM) is an important indicator of fetal health. However, the current methods of FM detection are unsuitable for ambulatory or long-term observation. This paper proposes a non-contact method for monitoring FM. We recorded abdominal videos from pregnant women and then detected the maternal abdominal region within each frame. FM signals were acquired by optical flow color-coding, ensemble empirical mode decomposition, energy ratio, and correlation analysis. FM spikes, indicating the occurrence of FMs, were recognized using the differential threshold method. FM parameters including number, interval, duration, and percentage were calculated, and good agreement was found with the manual labeling performed by the professionals, achieving true detection rate, positive predictive value, sensitivity, accuracy, and F1_score of 95.75%, 95.26%, 95.75%, 91.40%, and 95.50%, respectively. The changes in FM parameters with gestational week were consistent with pregnancy progress. In general, this study provides a novel contactless FM monitoring technology for use at home.

Keyword:

video optical flow non-contact fetal movement

Author Community:

  • [ 1 ] [Han, Qiao]Beijing Univ Technol, Fac Environm & Life, Beijing 100124, Peoples R China
  • [ 2 ] [Hao, Dongmei]Beijing Univ Technol, Fac Environm & Life, Beijing 100124, Peoples R China
  • [ 3 ] [Yang, Lin]Beijing Univ Technol, Fac Environm & Life, Beijing 100124, Peoples R China
  • [ 4 ] [Yang, Yimin]Beijing Univ Technol, Fac Environm & Life, Beijing 100124, Peoples R China
  • [ 5 ] [Li, Guangfei]Beijing Univ Technol, Fac Environm & Life, Beijing 100124, Peoples R China
  • [ 6 ] [Han, Qiao]Beijing Int Sci & Technol Cooperat Base Intelligen, Beijing 100124, Peoples R China
  • [ 7 ] [Hao, Dongmei]Beijing Int Sci & Technol Cooperat Base Intelligen, Beijing 100124, Peoples R China
  • [ 8 ] [Yang, Lin]Beijing Int Sci & Technol Cooperat Base Intelligen, Beijing 100124, Peoples R China
  • [ 9 ] [Yang, Yimin]Beijing Int Sci & Technol Cooperat Base Intelligen, Beijing 100124, Peoples R China
  • [ 10 ] [Li, Guangfei]Beijing Int Sci & Technol Cooperat Base Intelligen, Beijing 100124, Peoples R China

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Source :

SENSORS

Year: 2023

Issue: 10

Volume: 23

3 . 9 0 0

JCR@2022

ESI Discipline: CHEMISTRY;

ESI HC Threshold:20

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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