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Muhammad Hasanuddin, S.Kom
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International Journal of Applied Science and Technology Application
Published by CV. Raskha Media Group
ISSN : -     EISSN : 31249132     DOI : https://doi.org/10.62712/ijapset
Core Subject :
The International Journal of Applied Science and Technology Application (IJAPSET) aims to publish high-quality research that advances the application of scientific knowledge, artificial intelligence, and engineering technologies to address real-world challenges. The journal promotes interdisciplinary research that integrates computational intelligence, engineering systems, and technological innovation to develop practical and scalable solutions for industry, infrastructure, and digital transformation. IJAPSET provides an international platform for researchers, engineers, and technology practitioners to disseminate innovative findings, validated technological implementations, and applied research that contribute to scientific advancement and sustainable technological development.
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Articles 2 Documents
 1 
Search results for , issue "Vol. 1 No. 2 (2026): September 2026" : 2 Documents clear
Design and Evaluation of Smart Medical Mechanical Systems for Real-Time Rehabilitation Monitoring Kodai Kitagawa; Edi Ismanto
International Journal of Applied Science and Technology Application Vol. 1 No. 2 (2026): September 2026
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/ijapset.v1i2.8

Abstract

This research aims to develop and evaluate Smart Medical Mechanical Systems based on the integration of mechanical engineering, medical sensor engineering, embedded systems, and the Internet of Medical Things (IoMT) to support real-time rehabilitation monitoring. The research uses a Research and Development (R&D) approach with stages of needs analysis, mechanical design, medical sensor integration, embedded system development, laboratory testing, and initial clinical validation. The research subjects involved 42 participants consisting of post-stroke rehabilitation patients, mechanical engineers, biomedical engineers, and rehabilitation doctors. The research instruments include Electromyography (EMG) sensors, Inertial Measurement Units (IMU), load cells, motion capture, usability testing, and a cloud-based rehabilitation monitoring system. The research results show that the system successfully performed real-time monitoring of patients' biomechanical and physiological parameters with a sensor accuracy rate of 94.2%, a 28% increase in movement efficiency, and a 31% increase in user comfort. The system also supports more objective rehabilitation evaluations thru a cloud-based monitoring dashboard. In addition, the ergonomic mechanical design and multimodal sensing integration have proven to enhance the quality of human-rehabilitation device interaction. This research concludes that the integration of smart medical engineering and IoMT can enhance the effectiveness of modern rehabilitation and support the development of data-driven rehabilitation within the smart healthcare ecosystem. This research also contributes to the development of smarter rehabilitation systems that are more adaptive, personalized, and integrated for both clinical rehabilitation and telemedicine.
Development of an IoMT Rehabilitation System with EMG Sensor Integration and Ergonomic Design for Adaptive Medical Rehabilitation Mohamed Wajdi Ladghem-Chikouche; Cynthia, Eka Pandu
International Journal of Applied Science and Technology Application Vol. 1 No. 2 (2026): September 2026
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/ijapset.v1i2.9

Abstract

This study aims to develop an IoMT Rehabilitation System based on the integration of Electromyography (EMG) sensors, embedded Internet of Medical Things (IoMT), adaptive actuators, and ergonomic design to improve the effectiveness of real-time adaptive medical rehabilitation. The study employed a Research and Development (R&D) method using a multidisciplinary approach integrating mechanical engineering, biomedical engineering, and embedded systems. The research subjects consisted of 42 participants, including mechanical engineers, biomedical engineers, rehabilitation physicians, and post-stroke patients with mild to moderate conditions. The research process included mechanical device design, prototype fabrication, EMG and IoMT sensor integration, biomechanical testing, and limited clinical validation. The results showed that the developed rehabilitation system achieved an EMG sensor reading accuracy of 94.2%, improved patient movement efficiency by 28%, and increased device comfort by 31% compared to conventional rehabilitation systems. Furthermore, the implementation of IoMT enabled real-time rehabilitation monitoring through a digital dashboard, allowing medical personnel to evaluate therapy progress more objectively and systematically. The integration of EMG-based adaptive actuators successfully created a closed-loop rehabilitation system capable of providing dynamic movement assistance according to the patient’s physiological conditions. This study contributes to the development of smart rehabilitation engineering based on biomechanics, IoMT, and ergonomic design as a more adaptive, precise, and efficient solution for modern medical rehabilitation.

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