{"title":"肌电义肢的加工、硬件设计及应用前景","authors":"A. Lisovskaya, Evdokiia M. Berkhova","doi":"10.1109/EICONRUS.2019.8657273","DOIUrl":null,"url":null,"abstract":"The problems of the development of modern myoelectric prostheses are considered. The main features of various models of spike neurons and neural networks for signal processing in prosthetic systems are described. Problems of their hardware implementation are considered. The main models showing behavior similar to a biological cell are given.","PeriodicalId":6748,"journal":{"name":"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","volume":"19 1","pages":"1187-1189"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Processing, Hardware Design and Prospects of Use of Myoelectric Prostheses\",\"authors\":\"A. Lisovskaya, Evdokiia M. Berkhova\",\"doi\":\"10.1109/EICONRUS.2019.8657273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problems of the development of modern myoelectric prostheses are considered. The main features of various models of spike neurons and neural networks for signal processing in prosthetic systems are described. Problems of their hardware implementation are considered. The main models showing behavior similar to a biological cell are given.\",\"PeriodicalId\":6748,\"journal\":{\"name\":\"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)\",\"volume\":\"19 1\",\"pages\":\"1187-1189\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EICONRUS.2019.8657273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EICONRUS.2019.8657273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Processing, Hardware Design and Prospects of Use of Myoelectric Prostheses
The problems of the development of modern myoelectric prostheses are considered. The main features of various models of spike neurons and neural networks for signal processing in prosthetic systems are described. Problems of their hardware implementation are considered. The main models showing behavior similar to a biological cell are given.