A Novel Approach For Movement Evolution Tracking In Parkinson'S Disease Using Data Analysis And Fuzzy Logic
11TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS (PETRA 2018)(2018)
摘要
In this paper, a novel approach for the analysis of the movement evolution in patients with Parkinson's disease is presented. The system offers the capabilities of detecting significant degradations in the motor-skills of the patients according to the physiotherapy evaluations, where seven items are measured, including: posture, balance, walking, postural changes, involuntary movements, movement coordination and rigidity. To assess their evolution, two modules are employed: a data analysis module, which uses a clustering algorithm to distribute patients according to their skills and analyses their evolution based on the last three evaluations, and a Decision Support Tool based on a Fuzzy-Logic system, which measures the state of the patient according to the results from the mentioned data analysis module and generates a report per patient including his/her state at each item as well as recommendations considering convenient exercises to be practiced. Thus, the system provides meaningful information to physiotherapists, to support them in the decision-making process.
更多查看译文
关键词
Decision support tool, fuzzy-logic system, data analysis, clustering algorithms, Parkinson's disease, physiotherapy recommendations, motor-skills evolution
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