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Automatically Measure the Quality of Infants’ Spontaneous Movement via Videos to Predict the Risk of Cerebral Palsy

  • Published:2021 Issue: Volume:70 Page:1-11
  • ISSN:0018-9456
  • Container-title:IEEE Transactions on Instrumentation and Measurement
  • language:
  • Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wu QingqiangORCID,Xu GuanghuaORCID,Wei FanORCID,Kuang JiachenORCID,Zhang XinORCID,Chen LongtingORCID,Zhang SicongORCID

Funder

National Natural Science Foundation of China

Key Research and Development Program of Shaanxi Province of China

Special Guidance Funds for the Construction of World-Class Universities

Characteristic Development in Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 11 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. Movement Quantification in Preterm Infants: Comparing Motion Extraction from ECG Signals and from Pressure Sensitive Fiber Optics Mat;2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2024-06-26

2. Dynamic Gaussian Splatting from Markerless Motion Capture Reconstruct Infants Movements;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

3. Continuous Movement Quantification in Preterm Infants Using Fiber Mat: Advancing Long-Term Monitoring in Hospital Settings;IEEE Transactions on Instrumentation and Measurement;2024

4. Continuous sensing and quantification of body motion in infants: A systematic review;Heliyon;2023-07

5. Heart Rate Extraction From Neonatal Near-Infrared Spectroscopy Signals;IEEE Transactions on Instrumentation and Measurement;2023
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