Veronica Peiteado-Brea, D. Álvarez-Estévez, V. Moret-Bonillo
{"title":"A study of heart rate variability as sleep apnoea predictor over two different databases","authors":"Veronica Peiteado-Brea, D. Álvarez-Estévez, V. Moret-Bonillo","doi":"10.1109/BHI.2014.6864377","DOIUrl":null,"url":null,"abstract":"The main aim of this work is to study the consistency of ECG-based approaches for the screening of apnoeic patients, which are based on estimation of the Heart Rate Variability (HRV) by computing the so called High Frequency to Low Frequency (HF/LF) ratio. Different intervals and thresholds proposed in the literature for the previous ratio are compared with those found by the authors, and tested on two different databases. While more studies need to be launched on this area, our results suggest that patient classification according to this approach suffers from high variability and is widely dependent of the set of patients used for the tests.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BHI.2014.6864377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The main aim of this work is to study the consistency of ECG-based approaches for the screening of apnoeic patients, which are based on estimation of the Heart Rate Variability (HRV) by computing the so called High Frequency to Low Frequency (HF/LF) ratio. Different intervals and thresholds proposed in the literature for the previous ratio are compared with those found by the authors, and tested on two different databases. While more studies need to be launched on this area, our results suggest that patient classification according to this approach suffers from high variability and is widely dependent of the set of patients used for the tests.