{"title":"智能和交互式生物信号分析仪","authors":"H. Hosseini","doi":"10.1109/ANZIIS.2001.974091","DOIUrl":null,"url":null,"abstract":"In this paper, the design and implementation processes of an intelligent biosignal analyser axe discussed. If the complexity and costs associated with computer-aided diagnosis of biosignal can be reduced, it is likely that the availability of these systems will increase. Moreover, the real-time implementation of biosignal analysis can be achieved. The Biosignal analysers are being demanded in research, health care centres, and other organisations. A research project is carrying on at Auckland University of Technology to enhance the theoretical and experimental components in the area of intelligent biosignal processing. The overall aim of this project is to implement on-line (real-time) processing techniques, based on neural networks, for intelligent, cost effective, and easy-to-use biosignal analysers. This configuration allows flexibility in mapping biosignal inputs to output code and also allows for interactive applications to be created in software. Therefore, it allows users to control computer functions directly from their bioelectric signals. This approach is extremely valuable to people with devastating neuromuscular handicaps. The idea of providing easy access to such analysers will contribute to a reduction in the mortality rate due to certain medical conditions, which produce abnormal biosignals (i.e. cardiac failure).","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An intelligent and interactive biosignal analyser\",\"authors\":\"H. Hosseini\",\"doi\":\"10.1109/ANZIIS.2001.974091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the design and implementation processes of an intelligent biosignal analyser axe discussed. If the complexity and costs associated with computer-aided diagnosis of biosignal can be reduced, it is likely that the availability of these systems will increase. Moreover, the real-time implementation of biosignal analysis can be achieved. The Biosignal analysers are being demanded in research, health care centres, and other organisations. A research project is carrying on at Auckland University of Technology to enhance the theoretical and experimental components in the area of intelligent biosignal processing. The overall aim of this project is to implement on-line (real-time) processing techniques, based on neural networks, for intelligent, cost effective, and easy-to-use biosignal analysers. This configuration allows flexibility in mapping biosignal inputs to output code and also allows for interactive applications to be created in software. Therefore, it allows users to control computer functions directly from their bioelectric signals. This approach is extremely valuable to people with devastating neuromuscular handicaps. The idea of providing easy access to such analysers will contribute to a reduction in the mortality rate due to certain medical conditions, which produce abnormal biosignals (i.e. cardiac failure).\",\"PeriodicalId\":383878,\"journal\":{\"name\":\"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANZIIS.2001.974091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZIIS.2001.974091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, the design and implementation processes of an intelligent biosignal analyser axe discussed. If the complexity and costs associated with computer-aided diagnosis of biosignal can be reduced, it is likely that the availability of these systems will increase. Moreover, the real-time implementation of biosignal analysis can be achieved. The Biosignal analysers are being demanded in research, health care centres, and other organisations. A research project is carrying on at Auckland University of Technology to enhance the theoretical and experimental components in the area of intelligent biosignal processing. The overall aim of this project is to implement on-line (real-time) processing techniques, based on neural networks, for intelligent, cost effective, and easy-to-use biosignal analysers. This configuration allows flexibility in mapping biosignal inputs to output code and also allows for interactive applications to be created in software. Therefore, it allows users to control computer functions directly from their bioelectric signals. This approach is extremely valuable to people with devastating neuromuscular handicaps. The idea of providing easy access to such analysers will contribute to a reduction in the mortality rate due to certain medical conditions, which produce abnormal biosignals (i.e. cardiac failure).