Video-Based Quantification of Gait Impairments in Parkinson's Disease Using Skeleton-Silhouette Fusion Convolution Network

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 31; p. 1
• Main Authors: Zeng, Qingyi, Liu, Peipei, Yu, Ningbo, Wu, Jialing, Huo, Weiguang, Han, Jianda
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Basal ganglia; Central nervous system diseases; Convolution; Correlation coefficient; Correlation coefficients; Gait; gait impairments; Movement disorders; Neurodegenerative diseases; Parkinson's disease; Rehabilitation; Signs and symptoms; spatial-temporal graph convolutional network; Velocity; video-based assessment

Gait impairments are among the most common hallmarks of Parkinson's disease (PD), usually appearing in the early stage and becoming a major cause of disability with disease progression. Accurate assessment of gait features is critical to personalized rehabilitation for patients with PD, yet dif...