Design And Implementation Of Speech Diagnosis And Detection System For Parkinson’s Disease

According to statistics,Parkinson’s disease has become the third largest disease that damages the nervous system.However,the current method of detecting the disease is still a long-term clinical observation of tester and the professional doctor judges whether the tester is ill based on his or her behavior.Obviously,the detection method is too time consuming and relies heavily on the professionalism of the doctor.One of the early manifestations of Parkinson’s disease is speech impairment,so you can consider using speech detection to determine whether you have Parkinson’s.This paper adopts a speech-based detection method and designs and develops a speech-based diagnosis and detection system for Parkinson’s disease.The system not only pioneered the collection of auxiliary diagnostic functions,but also implemented the corresponding management of Parkinson’s patient information.The system comprises a voice collection module,a voice preprocessing module,an information management module and a voice detection and diagnosis module.The voice acquisition module implements the function of voice collection for Parkinson’s patients;the information management module mainly implements a Web service based on C/S architecture,which is used to display the detection results and manage the information of the patients;the voice detection module extracts The speech characteristics of the patient and the k-nearest neighbor algorithm are used to compare the speech characteristics of the patient with the unit speech features in the sample library,and then give the diagnosis results.Compared with the traditional detection method,the system has the advantages of saving trouble,labor saving,convenient collection,remote diagnosis and low cost,and has good application prospects.