Design and Development of a Wireless Functional Electrical Stimulation and m-Health Application for Foot Drop Using an IoT-Based Architecture

Main Article Content

Jirawat Jitprasutwit
Anan Banharnsakun
Kathawach Satianpakiranakorn
Kanjana Eiamsaard

Abstract

To enhance accessibility in foot drop rehabilitation, this study presents the design and development of a wireless functional electrical stimulation system integrated with a mobile health (m-Health) application and an ESP32-based IoT (Internet of Things) platform. The system comprises a stimulation node and a sensor node that communicate via Bluetooth Low Energy (BLE) for heel-strike-triggered stimulation. The stimulation node delivers symmetrical biphasic pulses to the peroneal nerve with adjustable parameters. A cloud-based backend using MQTT supports real-time logging and device management, while the m-Health application enables mode selection, parameter tuning, and usage tracking. Key hardware includes a 70V boost converter, programmable current limiter, and H-bridge pulse generator. Evaluations show reliable pulse output (400.3 us width, 2.1 us rise/fall), low BLE latency (6.16 ms), and accurate analog-to-digital converter readings. Results confirm the system's feasibility as a compact, portable solution for home-based rehabilitation, addressing limitations of traditional wired systems.

Article Details

How to Cite
Jitprasutwit, J., Banharnsakun, A., Satianpakiranakorn, K., & Eiamsaard, K. (2025). Design and Development of a Wireless Functional Electrical Stimulation and m-Health Application for Foot Drop Using an IoT-Based Architecture. INTERNATIONAL SCIENTIFIC JOURNAL OF ENGINEERING AND TECHNOLOGY (ISJET), 9(2), 1–17. retrieved from https://ph02.tci-thaijo.org/index.php/isjet/article/view/259582
Section
Research Article
Author Biographies

Jirawat Jitprasutwit, Department of Computer Engineering, Faculty of Engineering at Sriracha, Kasetsart University Sriracha Campus, Thailand

Jirawat Jitprasutwit is a lecturer in the Department of Computer Engineering, Faculty of Engineering at Sriracha, Kasetsart University Sriracha Campus, Thailand. He received an M.Eng. in Electrical Engineering from Mahidol University, Thailand. His research interests include biomedical engineering, Artificial Intelligence, Internet of Things, embedded systems, and smart intelligent systems.

Anan Banharnsakun, Department of Computer Engineering, Faculty of Engineering at Sriracha, Kasetsart University Sriracha Campus, Thailand

Anan Banharnsakun is an Associate Professor in the department of computer engineering, Faculty of Engineering at Sriracha, Kasetsart University Sriracha Campus, Thailand. He received a Ph.D. degree in Electrical and Computer Engineering from King Mongkut’s University of Technology Thonburi (KMUTT), Thailand. His research interests include biologically inspired computational intelligence, robust optimization, pattern recognition, and high-performance computing.

Kathawach Satianpakiranakorn, Department of Computer Engineering, Faculty of Engineering at Sriracha, Kasetsart University Sriracha Campus, Thailand

Kathawach Satianpakiranakorn is a lecturer in the Department of Computer Engineering, Faculty of Engineering at Sriracha, Kasetsart University Sriracha Campus, Thailand. He received M.Eng. in Computer Applied Technology from Harbin Engineering University, P.R. Harbin, China. His research field includes Artificial Intelligence, computer vision, and digital image processing.

Kanjana Eiamsaard, Department of Computer Engineering, Faculty of Engineering at Sriracha, Kasetsart University Sriracha Campus, Thailand

Kanjana Eiamsaard is an Assistant Professor in the department of computer engineering, Faculty of Engineering at Sriracha, Kasetsart University Sriracha Campus, Thailand. She received an M.S. in Software Engineering from Chulalongkorn University, Thailand. Her research interests include Artificial Intelligence, machine learning, and software engineering.

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