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Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
Published on: May 12, 2016
Dataset on Gait Analysis of Parkinsonian Subjects: Effect of Nordic Walking
Rosanna M Viglialoro1,2, Antonia Centrone3, Lorenza Mattei3,4
1Department of Information Engineering, University of Pisa, 56122, Pisa, Italy. rosanna.viglialoro@unipi.it.
Abstract:
The proposed dataset provides biomechanical data from patients with Parkinson's disease, collected to evaluate the effects of Nordic Walking on motor performance compared with Adapted Physical Activity. The study included 24 individuals with Parkinson's disease at Hoehn and Yahr stages 1-3, all able to walk more than 200 meters in the 6-minute walk test, and scoring ≥71 on the Addenbrooke's Cognitive Examination-III. Fourteen participants underwent Nordic Walking (90 minutes, twice weekly), while ten participated in Adapted Physical Activity sessions (60 minutes, two to three times weekly). Both interventions lasted 12 weeks. Pre- and post-intervention evaluations included joint angles, ground reaction forces, gait parameters, and electromyographic activity. Each assessment session comprised a static trial and three walking trials, recorded using a motion capture system, force plates, and a 16-channel electromyographic setup. The dataset includes raw and processed data (.c3d,.csv, mot,.trc), along with anthropometric measurements and calibration files. Organized into pre- and post-intervention sessions, it provides a publicly accessible resource for biomechanical analyses, validation studies, and neurorehabilitation research.
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