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时间:2020-04-14
《帕金森患者行走能力评估系统(英文)-论文.pdf》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、2015年5月安徽大学学报(自然科学版)Mav2015第39卷第3期JournalofAnhuiUniversity(NaturalScienceEdition)Vol
2、39No.3doi:10.3969/j.issn.1000—2162.2015.03.012Parkinson’SpatientswalkingabilityevaluationsystemWEIKai,YAOZhi—ming’。,¨,YANGXian-jun,WANGFei—yue,CHENGNan。(1.SchoolofElectronicsandInformationEngineering,A
3、nhuiUniversity,Hefei230027,China;2.InstituteofIntelligentMachines,ChineseAcademyofSciences,Hefei230031,China;3.JiangsuResearchInstituteofSportsScience,Nanjing210033,China;4.SportScienceCollege,BeijingSportUniversity,Beijing100084,China)Abstract:ByusingaS-shapedgaitchannelbasedonflexibl
4、epressuresensorarray,theplantarpressuredataofthePDpatientsweregotten,thenthePCforanalysisviaethernetcommunicationmodulewassent.Afterdatadenoising,dataclustering,footprintrecognition,andfeatureextraction,thespatio-temporalgaitfeatureshadbeenextracted.Theclassificationbyusingafuzzylogicc
5、lassificationalgorithmwascompleted.Theexperimentresulthadshownthattheaccuracywashigher(93),andprovedthattheproposedsystemcouldeffectivelyachievethewalkingabilityassessmentinpatientswithParkinson’Sdisease.Keywords:gaitevaluation;dataclassification;fuzzylogic;Parkinson’SdiseaseC1-12amber
6、:TP212.9Documentcode:AArticleID:1000—2162(2015)03—0061一O7帕金森患者行走能力评估系统魏凯,姚志明¨,杨先军,汪飞跃,程楠(1.安徽大学电子信息工程学院,安徽合肥230027;2.中国科学院合肥智能机械研究所,安徽合肥230031;3.江苏省体育科学研究所,江苏南京210033;4.北京体育大学运动人体科学学院,北京100084)摘要:该系统可应用于柔性阵列压力传感器搭建的S型步态通道平台,采集帕金森患者动态足底压力分布数据,并通过以太网传输至PC机进行分析.对忠行址底压力数据依次进行数据去噪、聚类分割、脚型识别
7、、参数提取等处理,获取患者详细的步态时参数。运用模糊分类方法对数据进行分类评估.实验结果表明:该分类方法具有较高的分类准确率(93),该系统能够有效地实现帕金森患者行走能力的评估.关键词:步态评估;数据分类;模糊逻辑;帕金森病0IntroductionParkinson’Sdisease(PD)isacommonneurologicaldiseasewhichisalsocalledparkinsonismReceiveddate:2O14-09—03Foundationitem:SupportedbytheScienceandTechnologyResearchP
8、lanProjeetofAnhuiProvince(1301042215)Author’Sbrief:WEIKai(1989一),male,borninChuzhouofAnhuiProvince,CO—trainingundergraduateofAnhuiUniversityandHefeiInstituteofIntelligentMachines;YAOZhi—ming(correspondingauthor),associateprofessorofChineseAcademyofSciences,doctor,E-mail:zhmyao@iim.ac
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