Parkinson’s Disease Classification and Medication Adherence Monitoring Using Smartphone-based Gait Assessment and Deep Reinforcement Learning Algorithm-Reference-Cited by-同舟云学术

Parkinson’s Disease Classification and Medication Adherence Monitoring Using Smartphone-based Gait Assessment and Deep Reinforcement Learning Algorithm

Published:2021 Issue: Volume:186 Page:546-554
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Plasencia Salgueiro Armando de Jesús,Shichkina Yulia,García Arlety García,Rodríguez Lynnette González

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

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3. Zhang, H., Xu, C., Li, H., Rathore, Aditya Singh, Song, C., Yan, Z., Li, D., Lin, F., Wang, K. and Xu, W. (2019). PDMove: Towards passive medication adherence monitoring of parkinson’s disease using smartphone-based gait assessment. In: Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3, p23. doi: 10.1145/3351281.

4. Control theory in biology and medicine;Thomas;Biological Cybernetics,2019

5. Modeling the Parkinson’s tremor and its treatments;Haeri;Journal of Theoretical Biology,2005

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