Abstract
Stroke remains a major cause of disability worldwide, with gait impairment affecting up to 80% of survivors and contributing to long-term dependence, fall risk, and reduced quality of life. In Saudi Arabia, stroke incidence is rising, with a significant burden on younger populations and disparities in access to post-stroke rehabilitation services. Conventional gait analysis tools rely on expensive, specialized laboratory equipment, which limits their availability in low-resource and rural settings. Recent advances in wearable sensor technologies, including inertial measurement units, pressure insoles, and electromyography systems, offer portable, scalable, and cost-efficient options for assessing gait in real-world environments. These systems can offer continuous monitoring, tele-rehabilitation, and personalized feedback, aligning with global shifts toward digital health oversight. This review explores the application of wearable sensor-based gait analysis in post-stroke rehabilitation, highlighting sensor modalities, clinical utility, implementation challenges, and opportunities, particularly in Saudi Arabia, to strengthen rehabilitation services and optimize patient outcomes.
Article Type
Review
First Page
244
Last Page
254
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Alzahrani, Abdullah H.
(2026)
"Wearable Sensor Technology and Biomechanical Gait Analysis in Post-Stroke Rehabilitation: A Review with Implications for the Saudi Healthcare System,"
Neurosciences: Vol. 31:
Iss.
3, Article 5.
DOI: https://doi.org/10.17712/1658-3183.2802