A wearable fetal movement detection system for pregnant women
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...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2023-07-01
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Series: | Frontiers in Medicine |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2023.1160373/full |
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author | Manping Qin Yong Xu Yubao Liang Tie Sun Tie Sun |
author_facet | Manping Qin Yong Xu Yubao Liang Tie Sun Tie Sun |
author_sort | Manping Qin |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-12T22:05:02Z |
format | Article |
id | doaj.art-6003f54f69c3450d85805926da6d95cc |
institution | Directory Open Access Journal |
issn | 2296-858X |
language | English |
last_indexed | 2024-03-12T22:05:02Z |
publishDate | 2023-07-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Medicine |
spelling | doaj.art-6003f54f69c3450d85805926da6d95cc2023-07-24T16:02:48ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2023-07-011010.3389/fmed.2023.11603731160373A wearable fetal movement detection system for pregnant womenManping Qin0Yong Xu1Yubao Liang2Tie Sun3Tie Sun4School of Artificial Intelligence and Smart Manufacturing, Hechi University, Hechi, ChinaSchool of Artificial Intelligence and Smart Manufacturing, Hechi University, Hechi, ChinaSchool of Artificial Intelligence and Smart Manufacturing, Hechi University, Hechi, ChinaSchool of Artificial Intelligence and Smart Manufacturing, Hechi University, Hechi, ChinaSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, ChinaA 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.https://www.frontiersin.org/articles/10.3389/fmed.2023.1160373/fullfetal movement detectionwearable devicesCortex-M4accelerometerBluetooth |
spellingShingle | Manping Qin Yong Xu Yubao Liang Tie Sun Tie Sun A wearable fetal movement detection system for pregnant women Frontiers in Medicine fetal movement detection wearable devices Cortex-M4 accelerometer Bluetooth |
title | A wearable fetal movement detection system for pregnant women |
title_full | A wearable fetal movement detection system for pregnant women |
title_fullStr | A wearable fetal movement detection system for pregnant women |
title_full_unstemmed | A wearable fetal movement detection system for pregnant women |
title_short | A wearable fetal movement detection system for pregnant women |
title_sort | wearable fetal movement detection system for pregnant women |
topic | fetal movement detection wearable devices Cortex-M4 accelerometer Bluetooth |
url | https://www.frontiersin.org/articles/10.3389/fmed.2023.1160373/full |
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