Enhanced gait tracking measures for individuals with stroke using leg-worn inertial sensors.

ABSTRACT:

Background

Clinical gait analysis plays a pivotal role in diagnosing and treating walking impairments. Inertial measurement units (IMUs) offer a low-cost, portable, and practical alternative to traditional gait analysis equipment, making these techniques more accessible beyond specialized clinics. Previous work and algorithms developed for specific clinical populations, like in individuals with Parkinson's disease, often do not translate effectively to other groups, such as stroke survivors, who exhibit significant variability in their gait patterns. The Salarian gait segmentation algorithm (SGSA) has demonstrated the potential to detect gait events and subsequently estimate clinical measures of gait speed, stride time, and other temporal parameters using two leg-worn IMUs in indiv

SUBMITTER: Lanotte F 

PROVIDER: S-EPMC11662601 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature