Enhanced Assessment of Gait Dynamics in Multiple Sclerosis: A Signal Processing Approach for Extracting Range of Motion Using Wearable IMUs

Dunya Moradi, Kardelen Akar, Kardelen Akar, Hussein Youssef, Hussein Youssef, Ayse Altintas, Ayse Altintas, Atay Vural, Atay Vural, Beren Semiz, Beren Semiz

2025

Abstract

This study investigates the gait dynamics and motor impairment severity in individuals with multiple sclerosis (MS) by analyzing lower limb range of motion (ROM) using data from inertial measurement units (IMUs) collected during the Timed 25-Foot Walk (T25FW) clinical task. Forty-eight participants were categorized into two MS groups based on motor impairment severity (16 MS patients with low motor impairment, 16 MS patients with moderate to severe motor impairment) and 16 healthy control group. IMU raw data of accelerometer and gyroscope from the feet sensors with respect to the lumbar region, were processed using a Butterworth filter and an Extended Kalman Filter to obtain accurate orientation, followed by quaternion to Euler angle conversion for calculating ROM. When the ROM-extracted statistical and time domain features were compared, there were significant differences in ROM characteristics among groups, particularly highlighting the increased variability and reduced control in participants with severe motor impairments. ROM-extracted features such as kurtosis, skewness, and entropy underscored the asymmetrical and irregular motion patterns in advanced MS cases. These findings support the potential of IMU-derived ROM metrics as biomarkers for tracking MS disease progression and tailoring rehabilitation.

Paper Citation

in Harvard Style

Moradi D., Akar K., Youssef H., Altintas A., Vural A. and Semiz B. (2025). Enhanced Assessment of Gait Dynamics in Multiple Sclerosis: A Signal Processing Approach for Extracting Range of Motion Using Wearable IMUs. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS; ISBN 978-989-758-731-3, SciTePress, pages 972-979. DOI: 10.5220/0013260300003911

in Bibtex Style

@conference{biosignals25,
author={Dunya Moradi and Kardelen Akar and Hussein Youssef and Ayse Altintas and Atay Vural and Beren Semiz},
title={Enhanced Assessment of Gait Dynamics in Multiple Sclerosis: A Signal Processing Approach for Extracting Range of Motion Using Wearable IMUs},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS},
year={2025},
pages={972-979},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013260300003911},
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: BIOSIGNALS
TI - Enhanced Assessment of Gait Dynamics in Multiple Sclerosis: A Signal Processing Approach for Extracting Range of Motion Using Wearable IMUs
SN - 978-989-758-731-3
AU - Moradi D.
AU - Akar K.
AU - Youssef H.
AU - Altintas A.
AU - Vural A.
AU - Semiz B.
PY - 2025
SP - 972
EP - 979
DO - 10.5220/0013260300003911
PB - SciTePress