Sensor Fusion and Machine Learning for Seated Movement Detection With Trunk Orthosis-Reference-Cited by-同舟云学术

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Sensor Fusion and Machine Learning for Seated Movement Detection With Trunk Orthosis

Published:2024 Issue: Volume:12 Page:41676-41687
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zahid Rao Ahmad¹^ORCID,Shahid Siddique Saba¹,Danish Mujib Muhammad¹^ORCID,Abul Hasan Muhammad¹,Alokaily Ahmad O.²^ORCID,Tahira Tayyaba³

Affiliation:

1. Department of Biomedical Engineering, NED University of Engineering and Technology, Karachi, Pakistan

2. Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia

3. Operative Dentistry and Endodontics Department, Dow International Dental College, Dow University of Health Sciences, Karachi, Pakistan

Funder

King Salman Center for Disability Research for funding this work through Research Group

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10472016.pdf?arnumber=10472016

Reference57 articles.

1. Everyday sitting behavior of full-time wheelchair users

2. How do normals move during prolonged wheelchair-sitting?

3. The trunk as a part of the kinematic chain for reaching movements in healthy subjects and hemiparetic patients

4. The associations of functional independence and quality of life with sitting balance and wheelchair skills among wheelchair users with spinal cord injury

5. SWAF: Smart Wheelchair for Fall Risk Assessment

Cited by 4 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. Utilizing machine learning to analyze trunk movement patterns in women with postpartum low back pain;Scientific Reports;2024-08-12

2. User Perspectives and Psychophysiological Manifestations of Fatigue with Trunk Orthosis for Dystrophinopathy Patients;Bioengineering;2024-08-01

3. Efficacy of audiovisual neurofeedback training for attention enhancement: a multimodal approach;NeuroReport;2024-06-06

4. Comparative Neurological and Behavioral Assessment of Central and Peripheral Stimulation Technologies for Induced Pain and Cognitive Tasks;Biomedicines;2024-06-06

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