{"title":"The implementation of a mobile Parkinson's tremor monitoring tool with variation analysis","authors":"Jian-ying Zhou, Honghua Zhang, Xiaodong Yang, Wen-Yen Lin, Wen-Cheng Chou","doi":"10.1109/ICCPS.2015.7454094","DOIUrl":null,"url":null,"abstract":"This paper describes the implementation of a realtime and easy-to-use mobile system based on accelerometer for the monitoring of Parkinson's tremor. About 70% of Parkinson's disease patients were starting with tremor symptoms, which usually occur on patients' fingers or hands. Unfortunately, there is no any real-time mobile monitoring system for Parkinson's tremor which can be used almost anytime, anywhere. This work mainly focused on the implementation of a mobile application of previous proposed novel accelerometer-based method for the real-time assessment of Parkinson's tremor. Besides providing the diagnosis of tremor's severity, this tool also analyzed the variation of the tremor behavior. As the result, people faking the tremor behavior can be detected from the variation of the analysis.","PeriodicalId":319991,"journal":{"name":"2015 IEEE International Conference on Communication Problem-Solving (ICCP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Communication Problem-Solving (ICCP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPS.2015.7454094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper describes the implementation of a realtime and easy-to-use mobile system based on accelerometer for the monitoring of Parkinson's tremor. About 70% of Parkinson's disease patients were starting with tremor symptoms, which usually occur on patients' fingers or hands. Unfortunately, there is no any real-time mobile monitoring system for Parkinson's tremor which can be used almost anytime, anywhere. This work mainly focused on the implementation of a mobile application of previous proposed novel accelerometer-based method for the real-time assessment of Parkinson's tremor. Besides providing the diagnosis of tremor's severity, this tool also analyzed the variation of the tremor behavior. As the result, people faking the tremor behavior can be detected from the variation of the analysis.
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