Andre G. Pinto, Gil Dias, Virginie Felizardo, Nuno Pombo, Hugo Silva, Paulo A. P. Fazendeiro, Rute Crisóstomo, N. Garcia
{"title":"Electrocardiography, electromyography, and accelerometry signals collected with BITalino while swimming: Device assembly and preliminary results","authors":"Andre G. Pinto, Gil Dias, Virginie Felizardo, Nuno Pombo, Hugo Silva, Paulo A. P. Fazendeiro, Rute Crisóstomo, N. Garcia","doi":"10.1109/ICCP.2016.7737119","DOIUrl":null,"url":null,"abstract":"The measurement of bio-signals is an important tool not only to assess the physical fitness, but also to prevent and/or to anticipate clinical episodes. In this paper a prototype to collect biosignals in water environments is described. This prototype collects three different signals such as accelerometry, electrocardiography, and electromyography, and was developed based on a modified off-the-shelf BITalino, to allow its use in water related bio-signal research. Several challenges are raised related with acquisition, transmission, and analysis of data, namely on defying environments such as swimming. The proposed model revealed it accuracy and suitability when applied on the swimming context.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCP.2016.7737119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The measurement of bio-signals is an important tool not only to assess the physical fitness, but also to prevent and/or to anticipate clinical episodes. In this paper a prototype to collect biosignals in water environments is described. This prototype collects three different signals such as accelerometry, electrocardiography, and electromyography, and was developed based on a modified off-the-shelf BITalino, to allow its use in water related bio-signal research. Several challenges are raised related with acquisition, transmission, and analysis of data, namely on defying environments such as swimming. The proposed model revealed it accuracy and suitability when applied on the swimming context.