{"title":"Fuzzy Assessment Systems of Rehabilitative Process for CVA Patients","authors":"Hongxing Li, C. L. P. Chen, Han-Pang Huang","doi":"10.1201/9781420057997.CH18","DOIUrl":null,"url":null,"abstract":"In recent years, cerebrovascular accidents have become a very serious disease in our society. How to assess the states of cerebrovascular accident (CVA) patients and rehabilitate them is very important. Therapists train CVA patients according to the functional activities they need in their daily lives. During the rehabilitative therapeutic activities, the assessment of motor control ability for CVA patients is very important. In this chapter, a fuzzy diagnostic system is developed to evaluate the motor control ability of CVA patients. The CVA patients will be analyzed according to the motor control abilities defined by kinetic signals. The kinetic signals are fed into the proposed fuzzy diagnostic system to assess the global control ability and compare with the FIM (Functional Independent Measurement) score, which is a clinical index for assessing the states of CVA patients in hospitals. It is shown that the proposed fuzzy diagnostic system can precisely assess the motor control ability of CVA patients.","PeriodicalId":239984,"journal":{"name":"Fuzzy Neural Intelligent Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuzzy Neural Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781420057997.CH18","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
In recent years, cerebrovascular accidents have become a very serious disease in our society. How to assess the states of cerebrovascular accident (CVA) patients and rehabilitate them is very important. Therapists train CVA patients according to the functional activities they need in their daily lives. During the rehabilitative therapeutic activities, the assessment of motor control ability for CVA patients is very important. In this chapter, a fuzzy diagnostic system is developed to evaluate the motor control ability of CVA patients. The CVA patients will be analyzed according to the motor control abilities defined by kinetic signals. The kinetic signals are fed into the proposed fuzzy diagnostic system to assess the global control ability and compare with the FIM (Functional Independent Measurement) score, which is a clinical index for assessing the states of CVA patients in hospitals. It is shown that the proposed fuzzy diagnostic system can precisely assess the motor control ability of CVA patients.