{"title":"Non contact monitoring of respiratory function via depth sensing","authors":"Edgar A. Bernal, L. K. Mestha, E. Shilla","doi":"10.1109/BHI.2014.6864314","DOIUrl":null,"url":null,"abstract":"Monitoring respiratory events is of clinical importance in the early detection of potentially fatal conditions. Current technologies involve contact sensors the individual must wear constantly. Such a requirement can lead to patient discomfort, and consequently may fail due to a variety of reasons including refusal to wear the monitoring device. Elderly patients and neo-natal infants are even more likely to suffer from the adverse effects of continued monitoring. Unobtrusive, non-contact, remote-sensing-based methods are increasingly needed for monitoring patient respiratory function at homes, which can in turn help to establish patterns over time. We propose to use active-stereo-based depth sensing system for forced flow-volume loop measurements and for semi-automatic and automatic assessment of abnormal breathing patterns.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","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.2014.6864314","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Monitoring respiratory events is of clinical importance in the early detection of potentially fatal conditions. Current technologies involve contact sensors the individual must wear constantly. Such a requirement can lead to patient discomfort, and consequently may fail due to a variety of reasons including refusal to wear the monitoring device. Elderly patients and neo-natal infants are even more likely to suffer from the adverse effects of continued monitoring. Unobtrusive, non-contact, remote-sensing-based methods are increasingly needed for monitoring patient respiratory function at homes, which can in turn help to establish patterns over time. We propose to use active-stereo-based depth sensing system for forced flow-volume loop measurements and for semi-automatic and automatic assessment of abnormal breathing patterns.