Wearable Sensor Framework for Rehabilitation Monitoring Following Knee-Related Conditions

Can Tekdemir, Yusuf Hayirlioglu, Olgar Birsel, Beren Semiz

2025

Abstract

The knee, being the largest and one of the most complex joints in the body, is highly vulnerable to injury due to its intricate structure and exposure to multi-directional forces. Surgical interventions are among the most frequently utilized treatments for advanced degenerative joint disease. However during the rehabilitation process, physician assessments can be subjective, which may lead to inconsistent evaluations, particularly in subtle or complex cases. To enhance accuracy and reduce variability, objective methodologies like data-driven tools and standardized protocols are necessary. Hence, we propose a multi-modal wearable sensor framework leveraging electrical bioimpedance, acoustical emissions, inertial activity and temperature measurements simultaneously to achieve objective and quantifiable information that can complement clinical judgement, ensuring more reliable and reproducible outcomes in patient care. The system was validated through active (flexion-extension) and inactive (sedentary) measurements, and proven successful in capturing knee-related signatures and assessing the knee joint health. Such a system could facilitate the establishment of a direct relationship between signal characteristics and key knee health parameters, enabling more informed decisions regarding disease or injury status and treatment progress.

Paper Citation

in Harvard Style

Tekdemir C., Hayirlioglu Y., Birsel O. and Semiz B. (2025). Wearable Sensor Framework for Rehabilitation Monitoring Following Knee-Related Conditions. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES; ISBN 978-989-758-731-3, SciTePress, pages 45-52. DOI: 10.5220/0013144000003911

in Bibtex Style

@conference{biodevices25,
author={Can Tekdemir and Yusuf Hayirlioglu and Olgar Birsel and Beren Semiz},
title={Wearable Sensor Framework for Rehabilitation Monitoring Following Knee-Related Conditions},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES},
year={2025},
pages={45-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013144000003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES
TI - Wearable Sensor Framework for Rehabilitation Monitoring Following Knee-Related Conditions
SN - 978-989-758-731-3
AU - Tekdemir C.
AU - Hayirlioglu Y.
AU - Birsel O.
AU - Semiz B.
PY - 2025
SP - 45
EP - 52
DO - 10.5220/0013144000003911
PB - SciTePress