Fetal Movement Detection by Wearable Accelerometer Duo Based on Machine Learning-Reference-Cited by-同舟云学术

Fetal Movement Detection by Wearable Accelerometer Duo Based on Machine Learning

Author:

Xu Jingyi¹,Zhao Chao¹^ORCID,Ding Bo²,Gu Xiaoxia²,Zeng Wenru¹,Qiu Liang³,Yu Hong²,Shen Yang²,Liu Hong¹^ORCID

Affiliation:

1. State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China

2. School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China

3. Suzhou Fetal Biotechnology Company Ltd., Suzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Key Research and Development Program of Jiangsu Province

Science and Technology Development Program of Suzhou

Key Project and Open Research Fund of State Key Laboratory of Bioelectronics, Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference32 articles.

Cited by 16 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

3. Investigation of IOT Enabled Maternal Health Monitoring System for Antenatal Care;2024 Tenth International Conference on Bio Signals, Images, and Instrumentation (ICBSII);2024-03-20

4. FemmeVibe: Device to amplify Women's Health and Harmony;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15