Wearable and wireless sEMG acquisition system based on the Internet of Medical Things

The use and development of wearable systems, including the Internet of Things, have become very relevant in recent years. This type of technology has gained popularity in biomedical applications thanks to its advantages in remote patient monitoring and rehabilitation. The aim of the above is to gene...

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Published in:Sensing and Bio-Sensing Research
Main Authors: Manuela Gomez-Correa, David Cruz-Ortiz, Mariana Ballesteros
Format: Article
Language:English
Published: Elsevier 2025-08-01
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214180425000947
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author Manuela Gomez-Correa
David Cruz-Ortiz
Mariana Ballesteros
author_facet Manuela Gomez-Correa
David Cruz-Ortiz
Mariana Ballesteros
author_sort Manuela Gomez-Correa
collection DOAJ
container_title Sensing and Bio-Sensing Research
description The use and development of wearable systems, including the Internet of Things, have become very relevant in recent years. This type of technology has gained popularity in biomedical applications thanks to its advantages in remote patient monitoring and rehabilitation. The aim of the above is to generate greater access to health services, create personalized systems adapted to the needs of patients, and reduce the necessity of having specialized personnel constantly available while evaluating users. Therefore, the present work developed a portable and wireless surface electromyography (sEMG) system based on the Internet of Medical Things, named MUSS, for Muscle Sensing System. This system has eight wireless modules for biosignal recording, online acquisition, and sEMG signal processing. The system presents an innovative circuit that uses Wi-Fi communication for the online adjustment of sEMG parameters, such as gain, signal offset, and the implementation of digital filters to perform tests based on the application’s needs. Finally, the developed software allows the connection to the Cloud for remote control, information exchange between specialized personnel, and Cloud storage for greater accessibility. The system comparison with different commercial devices and a clinical device demonstrated the usability and advantages of the device developed, considering features such as signal-to-noise ratio, frequency peaks, energy, among others.
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spelling doaj-art-e5ecdc6d7a2a4dcfb2a2775297550e4b2025-09-17T05:17:57ZengElsevierSensing and Bio-Sensing Research2214-18042025-08-014910082810.1016/j.sbsr.2025.100828Wearable and wireless sEMG acquisition system based on the Internet of Medical ThingsManuela Gomez-Correa0David Cruz-Ortiz1Mariana Ballesteros2Centro de Innovación y Desarrollo Tecnológico en Cómputo, Instituto Politécnico Nacional, Av. Juan de Dios Bátiz s/n, Nueva Industrial Vallejo, 07700, Mexico City, MexicoMedical Robotics and Biosignals Laboratory, Unidad Profesional Interdisciplinaria de Biotecnología, Instituto Politécnico Nacional, Av. Acueducto s/n, La laguna Ticoman, 07340, Mexico City, MexicoCentro de Innovación y Desarrollo Tecnológico en Cómputo, Instituto Politécnico Nacional, Av. Juan de Dios Bátiz s/n, Nueva Industrial Vallejo, 07700, Mexico City, Mexico; Medical Robotics and Biosignals Laboratory, Unidad Profesional Interdisciplinaria de Biotecnología, Instituto Politécnico Nacional, Av. Acueducto s/n, La laguna Ticoman, 07340, Mexico City, Mexico; Corresponding author at: Centro de Innovación y Desarrollo Tecnológico en Cómputo, Instituto Politécnico Nacional, Av. Juan de Dios Bátiz s/n, Nueva Industrial Vallejo, 07700, Mexico City, Mexico.The use and development of wearable systems, including the Internet of Things, have become very relevant in recent years. This type of technology has gained popularity in biomedical applications thanks to its advantages in remote patient monitoring and rehabilitation. The aim of the above is to generate greater access to health services, create personalized systems adapted to the needs of patients, and reduce the necessity of having specialized personnel constantly available while evaluating users. Therefore, the present work developed a portable and wireless surface electromyography (sEMG) system based on the Internet of Medical Things, named MUSS, for Muscle Sensing System. This system has eight wireless modules for biosignal recording, online acquisition, and sEMG signal processing. The system presents an innovative circuit that uses Wi-Fi communication for the online adjustment of sEMG parameters, such as gain, signal offset, and the implementation of digital filters to perform tests based on the application’s needs. Finally, the developed software allows the connection to the Cloud for remote control, information exchange between specialized personnel, and Cloud storage for greater accessibility. The system comparison with different commercial devices and a clinical device demonstrated the usability and advantages of the device developed, considering features such as signal-to-noise ratio, frequency peaks, energy, among others.http://www.sciencedirect.com/science/article/pii/S2214180425000947sEMGWearable deviceInternet of Medical ThingsWireless communication
spellingShingle Manuela Gomez-Correa
David Cruz-Ortiz
Mariana Ballesteros
Wearable and wireless sEMG acquisition system based on the Internet of Medical Things
sEMG
Wearable device
Internet of Medical Things
Wireless communication
title Wearable and wireless sEMG acquisition system based on the Internet of Medical Things
title_full Wearable and wireless sEMG acquisition system based on the Internet of Medical Things
title_fullStr Wearable and wireless sEMG acquisition system based on the Internet of Medical Things
title_full_unstemmed Wearable and wireless sEMG acquisition system based on the Internet of Medical Things
title_short Wearable and wireless sEMG acquisition system based on the Internet of Medical Things
title_sort wearable and wireless semg acquisition system based on the internet of medical things
topic sEMG
Wearable device
Internet of Medical Things
Wireless communication
url http://www.sciencedirect.com/science/article/pii/S2214180425000947
work_keys_str_mv AT manuelagomezcorrea wearableandwirelesssemgacquisitionsystembasedontheinternetofmedicalthings
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AT marianaballesteros wearableandwirelesssemgacquisitionsystembasedontheinternetofmedicalthings