{"title":"利用Hyb-SGTS和双阶段深度CNN架构的基于脑电和语音信号的多类识别策略用于HC、AD和PD神经系统疾病的早期诊断","authors":"D.S. Suresh, C. Balaji","doi":"10.1504/ijbet.2023.10058868","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EEG and Speech Signal Based Multi-class Recognition Manoeuvre by exploiting a Hyb-SGTS and a Dual stage deep CNN architecture for an early diagnosis of HC, AD and PD Neurological Diseases\",\"authors\":\"D.S. Suresh, C. Balaji\",\"doi\":\"10.1504/ijbet.2023.10058868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":51752,\"journal\":{\"name\":\"International Journal of Biomedical Engineering and Technology\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Biomedical Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijbet.2023.10058868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Biomedical Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijbet.2023.10058868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
EEG and Speech Signal Based Multi-class Recognition Manoeuvre by exploiting a Hyb-SGTS and a Dual stage deep CNN architecture for an early diagnosis of HC, AD and PD Neurological Diseases
期刊介绍:
IJBET addresses cutting-edge research in the multi-disciplinary area of biomedical engineering and technology. Medical science incorporates scientific/technological advances combining to produce more accurate diagnoses, effective treatments with fewer side effects, and improved ability to prevent disease and provide superior-quality healthcare. A key field here is biomedical engineering/technology, offering a synthesis of physical, chemical, mathematical and computational sciences combined with engineering principles to enhance R&D in biology, medicine, behaviour, and health. Topics covered include Artificial organs Automated patient monitoring Advanced therapeutic and surgical devices Application of expert systems and AI to clinical decision making Biomaterials design Biomechanics of injury and wound healing Blood chemistry sensors Computer modelling of physiologic systems Design of optimal clinical laboratories Medical imaging systems Sports medicine.