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ORIGINAL RESEARCH article

Front. Electron.

Sec. Wearable Electronics

Volume 6 - 2025 | doi: 10.3389/felec.2025.1566899

Quantitative Musculoskeletal Monitoring and Analysis in Aquatic Rehabilitation

Provisionally accepted
  • 1 Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, Massachusetts, United States
  • 2 Elaine Marieb College of Nursing, University of Massachusetts Amherst, Amherst, United States

The final, formatted version of the article will be published soon.

    The benefits of aquatic rehabilitation have been demonstrated to promote well-being and facilitate motor recovery in middle-aged adults and geriatrics. Individualized patient-centered treatment is essential to accelerate and improve the rehabilitation process of neurological and orthopedic patients. Although aquatic therapy and rehabilitation are well known to be beneficial to these populations, it can be challenging for therapists to visualize and monitor patient progress and provide individualized feedback to ensure correct movement as planned. To establish the suitability of the developed wearable device in an aquatic environment, this study compared the extracted features of the sEMG and IMU data in on-land and aquatic environments for the bicep curls (BC) and tricep kickback (TK) protocols. We conducted a systematic analysis of the reproducibility and precision of the sEMG-IMU characteristics to assess the feasibility of the device for practical applications. While time and frequency domain features of sEMG were higher in aquatic environments compared to on-land, the Intraclass Correlation Coefficient (ICC) for these features ranged from 0.81 to 0.98, and the Coefficient of Variation (CV %) exhibited a range of 5.7% to 14.4%, highlighting reproducibility and correlation across environments in the two protocols. environment. Moreover, for frequency domain the reproducibility and precision of the sEMG recordings for each muscle in this study were obtained high (ICC = 0.92 -0.96, CV % = 5.4 -13.8%). It's noticeable that the observed acceleration data is almost similar to the same movement was maintained throughout the exercise. Eventually, the quantitative result is used to cluster the protocol types along with various repetitions to promote the personalized aquatic rehabilitation.

    Keywords: Aquatic rehabilitation, bicep curls, tricep kickbacks, musculoskeletal monitoring, quantitative analysis, waterproof wearable device

    Received: 26 Jan 2025; Accepted: 17 Mar 2025.

    Copyright: © 2025 Amin, Asabre, Razaghi and Noh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yeonsik Noh, Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, 01002, Massachusetts, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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