A wearable fetal movement detection system for pregnant women

被引:3
作者
Qin, Manping [1 ]
Xu, Yong [1 ]
Liang, Yubao [1 ]
Sun, Tie [1 ,2 ]
机构
[1] Hechi Univ, Sch Artificial Intelligence & Smart Mfg, Hechi, Peoples R China
[2] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing, Peoples R China
关键词
fetal movement detection; wearable devices; Cortex-M4; accelerometer; Bluetooth;
D O I
10.3389/fmed.2023.1160373
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
A wearable device-based fetal movement detection system for pregnant women is proposed to resolve the problems of low accuracy of fetal movement detection by fetal heart monitor, difficulties of fetal movement monitoring by pregnant women in person, and inability to monitor for long periods of time by ultrasonic Doppler imaging device. The overall software design flow of the system is proposed after determining the overall structure of the system based on symmetric sensor. The application circuit of the three-axis acceleration sensor MC3672 and its supporting sensor data collection program are designed, and the application circuit of the main control chip NRF52840 with Cortex-M4 core is analyzed. The function of data collection and algorithm recognition result transfer to a smartphone is realized through the fetal movement recognition and algorithm design and Bluetooth communication design. Finally, the system test scheme is introduced, which involves performing functional tests on four healthy pregnant volunteers and analyzing the results. The experimental results show that the average recognition rate and correct rate of this system to recognize fetal movement is 89.74% when using the real fetal movement actively perceived by pregnant women as the standard, achieving a domestic and wearable design of fetal movement monitoring device for pregnant women that can be used to analyze and predict the fetal health condition.
引用
收藏
页数:9
相关论文
共 31 条
[1]   Fetal Movement Counting Using Optical Fibre Sensors [J].
Abeywardena, Chalani L. ;
Vanheusden, Frederique J. ;
Walker, Kate F. ;
Arm, Richard ;
Zhang, Qimei .
SENSORS, 2021, 21 (01) :1-14
[2]  
Abeywardhana S. A. Y., 2018, 2018 IEEE REG 10 HUM, P1
[3]  
[Anonymous], 2021, The Central Committee of the Communist Party of China and the State Council issued the "National Standardization Development Outline
[4]   Fetal Movement Counting and Perinatal Mortality A Systematic Review and Meta-analysis [J].
Bellussi, Federica ;
Po', Gaia ;
Livi, Alessandra ;
Saccone, Gabriele ;
De Vivo, Valentino ;
Oliver, Emily A. ;
Berghella, Vincenzo .
OBSTETRICS AND GYNECOLOGY, 2020, 135 (02) :453-462
[5]   Passive detection of accelerometer-recorded fetal movements using a time-frequency signal processing approach [J].
Boashash, B. ;
Khlif, M. S. ;
Ben-Jabeur, T. ;
East, C. E. ;
Colditz, P. B. .
DIGITAL SIGNAL PROCESSING, 2014, 25 :134-155
[6]  
Bobrova YO., 2021, INT YOUTH C EL TEL I, P583
[7]   Risk factors for reduced fetal movements in pregnancy: A systematic review and meta-analysis [J].
Carroll, Lorraine ;
Gallagher, Louise ;
Smith, Valerie .
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY, 2019, 243 :72-82
[8]  
de la Barrera U, 2021, PLOS ONE, V16, DOI [10.1371/journal.pone.0250384, 10.1371/journal.pone.0254560]
[9]   A Wearable Device for Evaluation of Relative Position, Force, and Duration of Fetal Movement for Pregnant Woman Care [J].
Du, Yi-Chun ;
Yen, Lim Bee ;
Kuo, Pao-Lin ;
Tsai, Pei-Yin .
IEEE SENSORS JOURNAL, 2021, 21 (17) :19341-19350
[10]  
Erni Samutri ES., 2020, J NERS, V8, P8