{"title":"Distributed Sleep Monitoring System with Mobile Terminal","authors":"Siyuan Gao, Chang Liu, Anze Cheng, Xu Jiao","doi":"10.1109/DSA56465.2022.00074","DOIUrl":null,"url":null,"abstract":"In this paper, a distributed multi-lead sleep monitoring system is designed. The hardware is divided into a pressure sensor array and an intelligent terminal. The pressure sensor array is responsible for collecting the ballistocardiogram signals of the human body and transmits it locally to the intelligent terminal for analysis and processing. The IoT module is embedded in the intelligent terminal, and the effect of remote monitoring can be achieved through the matching cloud service and software support. In order to avoid data redundancy in high concurrency scenarios, the system adopts a hierarchical processing scheme. The source pressure data is first analyzed in the intelligent terminal, and only the result data is uploaded. And equipped with a specific frame format to prevent user privacy from being tampered with during transmission. The multilead monitoring scheme of this system effectively avoids the situation of misalignment with the sensor caused by body movement during sleep. And taking into account the uncertainty of the network, a storage function is added to the smart terminal to realize the data retrieval in different places. After analysis and evaluation, the calculation time can be shorter than 600ms, which has good real-time performance. The average recognition rate of breathing under the condition of stable lying down was 95.438%, The average recognition rate of heartbeat is 97.1825%, which has a good application scenario.","PeriodicalId":208148,"journal":{"name":"2022 9th International Conference on Dependable Systems and Their Applications (DSA)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 9th International Conference on Dependable Systems and Their Applications (DSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSA56465.2022.00074","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
In this paper, a distributed multi-lead sleep monitoring system is designed. The hardware is divided into a pressure sensor array and an intelligent terminal. The pressure sensor array is responsible for collecting the ballistocardiogram signals of the human body and transmits it locally to the intelligent terminal for analysis and processing. The IoT module is embedded in the intelligent terminal, and the effect of remote monitoring can be achieved through the matching cloud service and software support. In order to avoid data redundancy in high concurrency scenarios, the system adopts a hierarchical processing scheme. The source pressure data is first analyzed in the intelligent terminal, and only the result data is uploaded. And equipped with a specific frame format to prevent user privacy from being tampered with during transmission. The multilead monitoring scheme of this system effectively avoids the situation of misalignment with the sensor caused by body movement during sleep. And taking into account the uncertainty of the network, a storage function is added to the smart terminal to realize the data retrieval in different places. After analysis and evaluation, the calculation time can be shorter than 600ms, which has good real-time performance. The average recognition rate of breathing under the condition of stable lying down was 95.438%, The average recognition rate of heartbeat is 97.1825%, which has a good application scenario.