Gait analysis in neurological populations: Progression in the use of wearables

Yunus Celik, Samuel Stuart, Wai Lok Woo, Alan Godfrey

Research output: Contribution to journalReview articlepeer-review

78 Citations (Scopus)
177 Downloads (Pure)


Gait assessment is an essential tool for clinical applications not only to diagnose different neurological conditions but also to monitor disease progression as it contributes to the understanding of underlying deficits. There are established methods and models for data collection and interpretation of gait assessment within different pathologies. This narrative review aims to depict the evolution of gait assessment from observation and rating scales to wearable sensors and laboratory technologies, and provide possible future directions. In this context, we first present an extensive review of current clinical outcomes and gait models. Then, we demonstrate commercially available wearable technologies with their technical capabilities along with their use in gait assessment studies for various neurological conditions. In the next sections, a descriptive knowledge for existing inertial based algorithms and a sign based guide that shows the outcomes of previous neurological gait assessment studies are presented. Finally, we state a discussion for the use of wearables in gait assessment and speculate the possible research directions by revealing the limitations and knowledge gaps in the literature.
Original languageEnglish
Pages (from-to)9-29
Number of pages21
JournalMedical Engineering and Physics
Early online date13 Nov 2020
Publication statusPublished - 1 Jan 2021


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