Soft computing approaches for Healthcare in sensor cloud Environment

Abstract

Technological advancement in body area network wireless newlinecommunication and information technology facilitates Automated Remote newlineHealth Monitoring System ARHMS Open Geo spatial Consortium OGC newlinestandard based Sensor Web Enablement SWE is used to facilitate Remote newlineHealth Monitoring Integration of healthcare with cloud computing services newlineoffers valuable advantages such as data storage scalability efficient data newlinesharing, guaranteed services and reduced maintenance cost newlineExisting remote health monitoring system compromises with newlineaccuracy or detection time hence leads to false decision To improve the newlineaccuracy and to facilitate fast detection this thesis proposes a Combined newlineAdaptive neuro fuzzy inference system and Hidden markov model Activity newlineRecognition CAHAR for accurate activity detection Adaptive Neuro Fuzzy newlineInference System ANFIS is used for accurate activity classification and newlineHidden Markov Model HMM is used for prediction The results of these newlinetwo modules are combined for getting final decision Also Decision Tree newlinePruning DTP algorithm is used for abnormality detection in vital newlineParameters newline newline