Identification of Developmental Delay in Infants Using Wearable Sensors: Full-Day Leg Movement Statistical Feature Analysis-Reference-Cited by-同舟云学术

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Identification of Developmental Delay in Infants Using Wearable Sensors: Full-Day Leg Movement Statistical Feature Analysis

Published:2019 Issue: Volume:7 Page:1-7
ISSN:2168-2372
Container-title:IEEE Journal of Translational Engineering in Health and Medicine
language:
Short-container-title:IEEE J. Transl. Eng. Health Med.

Author:

Abrishami Mohammad Saeed^ORCID,Nocera Luciano^ORCID,Mert Melissa,Trujillo-Priego Ivan A.,Purushotham Sanjay,Shahabi Cyrus,Smith Beth A.^ORCID

Funder

American Physical Therapy Association

USC Integrated Media Systems Center

Foundation for Physical Therapy

Foundation for the National Institutes of Health

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Medicine

Link

https://ieeexplore.ieee.org/ielaam/6221039/8579633/8626439-aam.pdf

Cited by 32 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. The Utility of Calibrating Wearable Sensors before Quantifying Infant Leg Movements;Sensors;2024-09-04

2. Associating neuromotor outcomes at 12 months with wearable sensor measures collected during early infancy in rural Guatemala;Gait & Posture;2024-09

3. Remote Data Collection of Infant Activity and Sleep Patterns via Wearable Sensors in the HEALthy Brain and Child Development Study (HBCD);Developmental Cognitive Neuroscience;2024-09

4. A Five-Year Review of Newborn Screening for Spinal Muscular Atrophy in the State of Utah: Lessons Learned;International Journal of Neonatal Screening;2024-07-22

5. A pose estimation for motion tracking of infants cerebral palsy;Multimedia Tools and Applications;2024-04-30

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