Intelligent Garment Embedded CFS Evaluation based on PCA and Fuzzy SVM

摘要：

Intelligent garment (IG),which is embedded with electrical vital signal capturing and analysis models,can be used to offer the personal health monitoring anytime and anywhere.Chronic fatigue syndrome (CFS) is a serious and complex problem for modern people all over the world.But the methods of CFS diagnosis up to now are very elementary.In this paper,we present the architecture and design consideration of IG embedded on line CFS evaluation system basing on our previous works.To meet the system needs,we further perfect the schema by decreasing feature space using principal component analyses (PCA) and by diagnosing CFS more accurately using fuzzy multi-class SVM.Using the ISNI-DHU CFS database we set up,two series of experiment are made and the results show that the RR interval and R amplitude are most important features and the fuzzy SVM achieve 93.3％ of average sensitivity.

关键词： intelligent garment chronic fatigue syndrome fuzzy SVM classifier principal component analyses ECG feature.

作者: Yi-Zhi Wu Yong-Sheng Ding Hong-An Xu Hong Fan Bo-Hui Zhu

作者单位: College of Information Sciences and Technology,Donghua University,Shanghai 201620,China Engineering Research Center of Digitized Textile & Fashion Technology,Ministry of Education,Donghua College of Information Sciences and Technology,East China Normal University,Shanghai 200062,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）