Parkinson's disease is a common neurodegenerative disease,and there is currently no cure available.Only drug treatment can alleviate the onset cycle.Therefore,research on early Parkinson's disease is of great significance.Aiming at the problem of limited gait data and low recognition accuracy in early Parkinson's disease,a multi feature fusion based gait feature recognition method for early Parkinson's disease is proposed.Compared with traditional single feature recognition methods,this method has higher recognition accuracy and can provide an auxiliary method for early clinical diagnosis of Parkinson's disease.
early Parkinson's diseasegait datafeature fusionclassification recognition
维普
万方数据
