{"title":"Breakdown: A review of practical factors affecting the acquisition of bio-signals","authors":"S. Kartthik Srinivas, M. Jagannath, K. Adalarasu","doi":"10.1109/ICMOCE.2015.7489708","DOIUrl":null,"url":null,"abstract":"Bio-signal acquisition is a process that involves congregation of bio-signals that are very helpful in detecting a variety of ailments like epilepsy, sleep disorders, cardiac arrhythmia, best's disease, muscular and nervous-system disorders, dominant cystoids macular dystrophy, brain death and coma. Bio-signals can also be used for tracking the human kinesiology and also in enhancing human machine interaction. Bio-signal acquisition has a long history of use in healthcare and research, but there are certain practical factors that can affect the bio-signal acquisition. This work discusses about the practical factors affecting bio-signal acquisition and also proposes some of the possible engineering solutions to overcome these factors.","PeriodicalId":352568,"journal":{"name":"2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMOCE.2015.7489708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Bio-signal acquisition is a process that involves congregation of bio-signals that are very helpful in detecting a variety of ailments like epilepsy, sleep disorders, cardiac arrhythmia, best's disease, muscular and nervous-system disorders, dominant cystoids macular dystrophy, brain death and coma. Bio-signals can also be used for tracking the human kinesiology and also in enhancing human machine interaction. Bio-signal acquisition has a long history of use in healthcare and research, but there are certain practical factors that can affect the bio-signal acquisition. This work discusses about the practical factors affecting bio-signal acquisition and also proposes some of the possible engineering solutions to overcome these factors.