An IoT-based wearable system using accelerometers and machine learning for fetal movement monitoring-Reference-Cited by-同舟云学术

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An IoT-based wearable system using accelerometers and machine learning for fetal movement monitoring

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS)
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Author:

Zhao Xin,Zeng Xianyi,Koehl Ludovic,Tartare Guillaume,Jonckheere Julien de,Song Kehui

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8767101/8780112/08780301.pdf?arnumber=8780301

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Direct Memory Access-Based Data Storage for Long-Term Acquisition Using Wearables in an Energy-Efficient Manner;Sensors;2024-08-01

2. Driving Efficiency in Industry IoT: A Framework Powered by Intelligent Computing and Machine Learning;International Journal of Advanced Research in Science, Communication and Technology;2024-02-29

3. Maatran: Revolutionizing Maternal Care Through Remote Monitoring and Risk Prediction;Lecture Notes in Networks and Systems;2024

4. Wearable Smart Health Monitoring Transmitter and Portable Receiver Systems for Enhanced Wellness Insights;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

5. An IoT-Based Pregnancy Complexity Identification Using Machine Learning;Technological Tools for Predicting Pregnancy Complications;2023-10-09

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