可穿戴计算机
持续时间(音乐)
胎动
职位(财务)
惯性测量装置
计算机科学
模拟
运动(音乐)
成像体模
物理医学与康复
考试(生物学)
期限(时间)
怀孕
医学
胎儿
人工智能
核医学
声学
物理
嵌入式系统
古生物学
财务
经济
遗传学
生物
量子力学
作者
Yi‐Chun Du,Lim Bee Yen,Pao‐Lin Kuo,Pei‐Yin Tsai
标识
DOI:10.1109/jsen.2021.3089076
摘要
Fetal movement (FM) is one of the important indexes of clinical observations on fetal activities (such as the position, duration and relative force of FM), and as demand for the home monitoring of pregnant women grows increasingly, a wearable device for the long-term monitoring of fetal movement has drawn more and more attention. This study integrated multi-point IMU sensing with an innovative real-time classification method to build a device for the long-term monitoring of fetal movement, including the evaluation of the relative position, force and duration. In order to validate the sensitivity and clinical feasibility of the device, this study performed phantom simulation tests and clinical tests on 13 pregnant women. The phantom test results showed that the device had high accuracy (>90.3%) in recognizing 12 FM positions, the relative force had high correlation ( R 2 > 0.98), and the duration of FM had a low error percentage (<; 10%). The clinical test results showed that the number of FMs detected by this method was coincident with the pregnant women's self-perceptions, and the questionnaire result showed that the pregnant women highly accepted this device.
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