From Wellness to Medical Diagnostic Apps - The Parkinson's Disease Case.

Stefan Küppers,Ioannis Daskalopoulos,Ashwani Jha, Nikos F. Fragopanagos,Panagiotis Kassavetis,Effrosyni Nomikou,Tabish Saifee,John C. Rothwell, Kailash Bhatia,Marco U. Luchini, Marco Iannone,Theano Moussouri,George Roussos

Lecture Notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering（2017）

引用 1|浏览5

暂无评分

摘要

This paper presents the design and development of the CloudUPDRS app and supporting system developed as a Class I medical device to assess the severity of motor symptoms for Parkinson's Disease. We report on lessons learnt towards meeting fidelity and regulatory requirements; effective procedures employed to structure user context and ensure data quality; a robust service provision architecture; a dependable analytics toolkit; and provisions to meet mobility and social needs of people with Parkinson's.

查看译文

关键词

People With Parkinson, Medical Device Regulation, Docker Container, Mobile Phone Platform, Microservices Architecture

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要