Deep learning-enabled accurate assessment of gait impairments in Parkinson's disease using smartphone videos
Jianda Han
Equal contribution
Zhihua Tian
Equal contribution
,
Jialing Wu
Equal contribution
,
Kai Zhang
Shaohua Li
Fahd Baig
Peipei Liu
Ravi Vaidyanathan
Francesca Morgante
Weiguang Huo
Abstract
We developed a deep-learning framework for accurate and scalable assessment of Parkinsonian gait impairments from smartphone videos.
Type
Publication
npj Digital Medicine
This work studies clinically meaningful gait impairment assessment in Parkinson’s disease from real-world smartphone videos.
Authors
M.S. Candidate in Operations Research and Cybernetics
Zhihua Tian is an M.Sc. candidate in Operations Research and Cybernetics at Nankai University.
His work focuses on AI for healthcare, computer vision, and large language models, with
emphasis on Parkinson’s disease assessment from smartphone videos and motion data.