Published on in Vol 8, No 3 (2020): March
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/16650, first published
.
Journals
- Zhang H, Li C, Liu W, Wang J, Zhou J, Wang S. A Multi-Sensor Wearable System for the Quantitative Assessment of Parkinson’s Disease. Sensors 2020;20(21):6146 View
- Wang T, Zhang Y, Pan Y, Wang L, Zhang C, Liu J, Bian L, Sun B, Li D, Teive H. Development and Initial Validation of the Chinese Version of the Florida Surgical Questionnaire for Parkinson’s Disease. Parkinson's Disease 2020;2020:1 View
- Wu Z, Hong R, Li S, Peng K, Lin A, Gao Y, Jin Y, Su X, Zhi H, Guan Q, Pan L, Jin L. Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson’s disease. Frontiers in Aging Neuroscience 2022;14 View
- CHANG Y, SHUN S, CHEN M, CHANG Y. Feasibility of Different Exercise Modalities for Community-Dwelling Residents With Physical Inactivity: A Randomized Controlled Trial. Journal of Nursing Research 2023;31(6):e301 View
- Weng X, Mei C, Gao F, Wu X, Zhang Q, Liu G. A gait stability evaluation method based on wearable acceleration sensors. Mathematical Biosciences and Engineering 2023;20(11):20002 View
- Bridges B, Taylor J, Weber J. Evaluation of the Parkinson’s Remote Interactive Monitoring System in a Clinical Setting: Usability Study. JMIR Human Factors 2024;11:e54145 View
- He J, Wu L, Du W, Zhang F, Lin S, Ling Y, Ren K, Chen Z, Chen H, Su W. Instrumented timed up and go test and machine learning-based levodopa response evaluation: a pilot study. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
Books/Policy Documents
- Ernst S, Knight R, Royle J, Stephenson L. Principles of Translational Science in Medicine. View