Web-based medical information system for stroke Rehabilitation Intemet-of-Things (RIOT) patients: a prototype

Mohd Dhuzuki, Nurul Hanis and Zainuddin, Ahmad Anwar and Kamarudin, Saidatul Izyanie and Handayani, Dini Oktarina Dwi and Subramaniam, Krishnan and Mohd Tamrin, Mohd Izzuddin (2024) Web-based medical information system for stroke Rehabilitation Intemet-of-Things (RIOT) patients: a prototype. In: 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 26th - 28th August 2024, KOTA KINABALU.

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Abstract

Traditional stroke rehabilitation methods are known to be limited to their accessibility for patients with mobility issues while lacking real-time feedback whereas a modern way as remote rehabilitation seems to be costly for some patients. The downsides of the previous method will eventually execute an impact to the patients’ rehabilitation progress. To overcome the issue, as a starting point of this research, the proposed solution is a web-based medical information system that incorporates hand gesture recognition using MediaPipe and RIOT framework. Rehabilitation Internet-of-Things (RIOT) is an IoT system created to aid in remote rehabilitation, specifically targeting stroke survivors in remote areas and healthcare providers specialising in physiotherapy. This system offers a platform for stroke patients to perform rehabilitation exercises with real-time feedback. Additionally, in the making of a proper medical information system using web development technologies, the integration of MediaPipe and RIOT platform development using JavaScript or Python web integration. Moreover, surveys and usability testing were conducted to evaluate its effectiveness. Therefore, an innovative and costeffective approach was developed to provide stroke rehabilitation by combining real-time feedback, and usercentred design, improv

Item Type:	Proceeding Paper (Other)
Subjects:	T Technology > T Technology (General) > T11.95 Industrial directories
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Ts.Dr. Ahmad Anwar Zainuddin
Date Deposited:	23 Jan 2025 09:37
Last Modified:	23 Jan 2025 09:51
URI:	http://irep.iium.edu.my/id/eprint/118458

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