{"title":"Bluetooth Based Wireless Sleep Remote Monitoring System","authors":"K. M. Chang, M.S. Shih, T. Lan, L. Hang","doi":"10.1109/ITAB.2007.4407410","DOIUrl":null,"url":null,"abstract":"Sleep disorder, such as Obstructive sleeps apnoea (OSA), and is now regarded as an important risk factor for cardiovascular diseases. Traditional sleep monitoring system contains several biomedical signals recording set, such as EEG, EOG, EMG ECG respiration and SpO2. The increasing demands of home healthcare for sleep drive studies to monitor sleep by simple method. This paper proposed an ECG-based wireless sleep monitoring system, which contains a Bluetooth-based ECG transmission system, and algorithms to monitor OSA by ECG-derived features, with clustering sensitivity 77% and specificity 90%. This system is believed to be a good candidate to meet the future demand on home-based sleep monitoring, and it can reduce the abundant burdens of hospital sleep centers.","PeriodicalId":129874,"journal":{"name":"2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITAB.2007.4407410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Sleep disorder, such as Obstructive sleeps apnoea (OSA), and is now regarded as an important risk factor for cardiovascular diseases. Traditional sleep monitoring system contains several biomedical signals recording set, such as EEG, EOG, EMG ECG respiration and SpO2. The increasing demands of home healthcare for sleep drive studies to monitor sleep by simple method. This paper proposed an ECG-based wireless sleep monitoring system, which contains a Bluetooth-based ECG transmission system, and algorithms to monitor OSA by ECG-derived features, with clustering sensitivity 77% and specificity 90%. This system is believed to be a good candidate to meet the future demand on home-based sleep monitoring, and it can reduce the abundant burdens of hospital sleep centers.
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