Open AccessFETAL MOVEMENT SIGNAL DETECTION METHOD BASED ON MULTIPLE PRESSURE SENSORS
Author(s) -
Jianli Liu,
Xuwen Li,
Song Zhang,
Qiang Zhang,
Lin Yang,
Yimin Yang,
Dongmei Hao
Publication year - 2021
Publication title -
journal of mechanics in medicine and biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.236
H-Index - 30
eISSN - 1793-6810
pISSN - 0219-5194
DOI - 10.1142/s0219519421400248
Subject(s) - preprocessor , computer science , artificial intelligence , signal (programming language) , real time computing , computer vision , pattern recognition (psychology) , programming language
Objective: Fetal movement (FM) is one of the objective phenomena of fetal life. The decrease of FM is a clinical indicator of fetal hypoxia. A fetal motion detection method is based on multiple pressure sensors and multi features. Methods: Collecting the abdominal data of pregnant women using multi-pressure sensors, preprocessing the signal with a digital filter, extracting the time–frequency characteristics of FM signal. The designed classifier is used for recognition of the extracted features. Results: The detection system used for FM time series can provide reliable results with a detection rate of 93.0% and a positive rate is 75.9%. Conclusion: The portable detection system proposed in this paper is a good alternative that will optimize medical use, professionals and hospital resources and has potential application prospects in the field of home electronic medical treatment.