Smart fetal monitoring

Jia You, Qin Li, Zhenhua Guo, Ruohan Zhao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


2017. Fetal movement is an important index of fetal well-being. The absence or a reduction in fetal movement is a symptom or an alarming sign of fetal compromise or even death. The timely detection of abnormalities in fetal movement is vital to reduce the incidence of fetal loss, perinatal morbidity and maternal distress. This paper presents a smart fetal monitoring system to detect fetal movement and monitor movement pattern safely and reliably by using a new fabric sensor belt. The monitoring belt is wearable, non-intrusive, radiation free and washable. The new algorithms are robust for automated analysis, detection and assessment of fetal condition, which include effective noise removal, feature extraction, time sequence data analysis and decision support. Both the design of fabric sensor and functionality implementation of the belt are original and unique. The results of preliminary clinical trials demonstrate the feasibility of our prototype. There are no such similar products available in the market.
Original languageEnglish
Title of host publicationInformation Science and Applications 2017 - ICISA 2017
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9789811041532
Publication statusPublished - 1 Jan 2017
Event8th International Conference on Information Science and Applications, ICISA 2017 - Macau, China
Duration: 20 Mar 201723 Mar 2017

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Conference8th International Conference on Information Science and Applications, ICISA 2017

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering


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