Unraveling stroke gait deviations with movement analytics, more than meets the eye: a case control study.

ABSTRACT:

Background

This study aimed to identify and quantify the kinematic and kinetic gait deviations in post-stroke hemiplegic patients with matched healthy controls using Statistical Parametric Mapping (SPM).

Methods

Fifteen chronic stroke patients [4 females, 11 males; age 53.7 (standard deviation 12.2) years; body mass 65.4 (10.4) kg; standing height 168.5 (9.6) cm] and 15 matched healthy controls [4 females, 11 males; age 52.9 (11.7) years; body weight 66.5 (10.7) years; standing height 168.3 (8.8) cm] were recruited. In a 10-m walking task, joint angles, ground reaction forces (GRF), and joint moments were collected, analyzed, and compared using SPM for an entire gait cycle.

Results

Generally, when comparing the stroke patients' affected (hemiplegic) and less-affected

SUBMITTER: Pan JW 

PROVIDER: S-EPMC11298395 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature