OBJECTIVE: To determine the accuracy (criterion-related validity) of real-time clinical observations of push-off in gait after stroke. DESIGN: Criterion-related validity study of gait observations. SETTING: Rehabilitation hospital in Australia. PARTICIPANTS: Eleven participants with stroke and 8 treating physical therapists. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Pearson product-moment correlation between physical therapists' observations of push-off during gait and criterion measures of peak ankle power generation from a 3-dimensional motion analysis system. RESULTS: A high correlation was obtained between the observational ratings and the measurements of peak ankle power generation (Pearson r =.98). The standard error of estimation of ankle power generation was .32W/kg. CONCLUSIONS: Physical therapists can make accurate real-time clinical observations of push-off during gait following stroke.
OBJECTIVE: To determine the accuracy (criterion-related validity) of real-time clinical observations of push-off in gait after stroke. DESIGN: Criterion-related validity study of gait observations. SETTING: Rehabilitation hospital in Australia. PARTICIPANTS: Eleven participants with stroke and 8 treating physical therapists. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Pearson product-moment correlation between physical therapists' observations of push-off during gait and criterion measures of peak ankle power generation from a 3-dimensional motion analysis system. RESULTS: A high correlation was obtained between the observational ratings and the measurements of peak ankle power generation (Pearson r =.98). The standard error of estimation of ankle power generation was .32W/kg. CONCLUSIONS: Physical therapists can make accurate real-time clinical observations of push-off during gait following stroke.
Authors: Jennifer M Yentes; Kendra K Schmid; Daniel Blanke; Debra J Romberger; Stephen I Rennard; Nicholas Stergiou Journal: Respir Res Date: 2015-02-28
Authors: Nathan R Sauder; Andrew J Meyer; Jessica L Allen; Lena H Ting; Trisha M Kesar; Benjamin J Fregly Journal: Front Neurorobot Date: 2019-10-01 Impact factor: 2.650