Affiliation:
1. Communication Networks and Applications Laboratory (CNALab), Department of Informatics and Telecommunications, University of Peloponnese, 221 00 Tripoli, Greece
Abstract
Impaired hand function is one of the most frequently persistent consequences of stroke. Throughout the rehabilitation process, physicians consistently monitor patients and perform kinematic evaluations in order to assess their overall progress in motor recovery. The Sollerman Hand Function Test (SHT) is a valuable assessment tool used to evaluate a patient’s capacity to engage in daily activities. It holds great importance in the field of medicine as it aids in the assessment of treatment effectiveness. Nevertheless, the requirement for a therapist’s physical presence and the use of specialized materials make the test time-consuming and reliant on clinic availability. In this paper, we propose a computer-vision-based approach to the “Write with a pen” sub-test, originally included in the SHT. Our implementation does not require extra hardware equipment and is able to run on lower-end hardware specifications, using a single RGB camera. We have incorporated all the original test’s guidelines and scoring methods into our application, additionally providing an accurate hand spasticity evaluator. After briefly presenting the current research approaches, we analyze and demonstrate our application, as well as discuss some issues and limitations. Lastly, we share some preliminary findings from real-world application usage conducted at the University campus and outline our future plans.
Funder
European Regional Development Fund of the EU
Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Cited by
8 articles.
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1. Realizing computer vision rehabilitation assessment tests & evaluation applications for mobile devices;AEU - International Journal of Electronics and Communications;2024-11
2. Serious Game for Hand Therapy Assessment;2024 13th International Conference on Modern Circuits and Systems Technologies (MOCAST);2024-06-26
3. Hand Function Assessment using Computer Vision for Hand Rehabilitation;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25
4. A Smart-Glove Approach in Upper-limb Rehabilitation Assessment;2024 Panhellenic Conference on Electronics & Telecommunications (PACET);2024-03-28
5. Web-Based Application for Rehabilitation of Fine Motor Skills;2024 Panhellenic Conference on Electronics & Telecommunications (PACET);2024-03-28