Haoyan Liu, E. Sanchez, J. Parkerson, Alexander Nelson
{"title":"Poster Abstract: Unobtrusive Sleep Monitoring with Low-Cost Pressure Sensor Array","authors":"Haoyan Liu, E. Sanchez, J. Parkerson, Alexander Nelson","doi":"10.1109/CHASE48038.2019.00014","DOIUrl":null,"url":null,"abstract":"Human beings spend approximately one third of their day sleeping to maintain bodily function and mental health. Many individuals suffer from life-threatening apnea episodes or breathing blockages during sleep. This paper proposes a low-cost, unobtrusive, portable pressure sensor array (PSA) for analyzing and tracking the sleep quality based on parameters such as respiratory rate (RR), body movements (BM), in-bed time (IBT), and apnea episodes (AE). The pressure sensors are fabricated by stacking a layer of anti-static (velostat) material with two layers of conductive fabric. The pressure sensors are sealed with two laminating layers. A 32-bit cortex-M0+ based microcontroller is used for data acquisition. The data obtained is locally stored in a PC for processing and analysis. The respiratory rate is extracted by data pre-processing and frequency analysis with a fixed window segmentation.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CHASE48038.2019.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Human beings spend approximately one third of their day sleeping to maintain bodily function and mental health. Many individuals suffer from life-threatening apnea episodes or breathing blockages during sleep. This paper proposes a low-cost, unobtrusive, portable pressure sensor array (PSA) for analyzing and tracking the sleep quality based on parameters such as respiratory rate (RR), body movements (BM), in-bed time (IBT), and apnea episodes (AE). The pressure sensors are fabricated by stacking a layer of anti-static (velostat) material with two layers of conductive fabric. The pressure sensors are sealed with two laminating layers. A 32-bit cortex-M0+ based microcontroller is used for data acquisition. The data obtained is locally stored in a PC for processing and analysis. The respiratory rate is extracted by data pre-processing and frequency analysis with a fixed window segmentation.