UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

An AI-Enabled Low-Cost Wearable to Support Musculoskeletal Rehabilitation: A Proof of Concept

Mumuni, Ivy; Player, Darren; Tehrany, Rokhsaneh; Carlson, Tom; (2025) An AI-Enabled Low-Cost Wearable to Support Musculoskeletal Rehabilitation: A Proof of Concept. In: Proceedings of the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE: Copenhagen, Denmark. (In press). Green open access

[thumbnail of EMBC25_0399_ACCEPTED.pdf]
Preview
Text
EMBC25_0399_ACCEPTED.pdf - Accepted Version

Download (1MB) | Preview

Abstract

Musculoskeletal (MSK) disorders remain one of the leading causes of disability worldwide. Although multimodal physiotherapy, an approach that combines manual therapy, exercise therapy and education is the recommended core treatment, many patients continue to face challenges. Adhering to prescribed home exercise programs, staying motivated and performing exercises correctly are amongst the major obstacles faced in the absence of therapist supervision, which can significantly impact treatment outcomes. This pilot study explores the potential to integrate an artificial intelligence (AI)-enabled chatbot with a novel electromyography (EMG) device to enhance engagement and performance as part of MSK rehabilitation. Fifteen healthy adults played two versions of a game, one with the AI chatbot and one without, with the device positioned on the forearm to measure Electromyography (EMG) signals and control the game. The AI-enabled game was associated with a statistically significant increase in muscle activity and game performance. However, no statistically significant differences were identified for engagement based on assessments using the Game Engagement Questionnaire (GEQ). These findings suggest that while AI can increase physical engagement and task execution, further investigation is needed to understand the impact on user engagement. This study lays the groundwork for future research on AI-driven home-based MSK rehabilitation.

Type: Proceedings paper
Title: An AI-Enabled Low-Cost Wearable to Support Musculoskeletal Rehabilitation: A Proof of Concept
Event: 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025)
Location: Copenhagen, Denmark
Dates: 14 Jul 2025 - 17 Jul 2025
Open access status: An open access version is available from UCL Discovery
Publisher version: https://embc.embs.org/2025/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Ortho and MSK Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10208048
Downloads since deposit
35Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item