{"title":"一种基于鼻压气流测量的连续呼吸监测算法","authors":"Harold Steven Noriega Alvarado, Anaghem Ibrahim","doi":"10.1109/scm55405.2022.9794834","DOIUrl":null,"url":null,"abstract":"Sleep breathing disorders are health conditions that may affect several aspects of life and have been brought to light over the last five decades. Polysomnography is a golden standard measurement for sleep study. Moreover, it requires special equipment and a sleep laboratory. In this paper, an algorithm for continuous respiratory monitoring using nasal pressure airflow measurement for portable monitoring systems is developed. It allows detecting precisely, inhale and exhale peaks in airflow signal. Hence, essential parameters and different analyses of the airflow signal are determined. To examine the algorithm an airflow signal was obtained using portable cardiorespiratory system Kardiotehnika 04-3P(M) during night sleep and used to analyse the performance of the algorithm.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Algorithm for Continuous Respiratory Monitoring Using Nasal Pressure Airflow Measurement\",\"authors\":\"Harold Steven Noriega Alvarado, Anaghem Ibrahim\",\"doi\":\"10.1109/scm55405.2022.9794834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sleep breathing disorders are health conditions that may affect several aspects of life and have been brought to light over the last five decades. Polysomnography is a golden standard measurement for sleep study. Moreover, it requires special equipment and a sleep laboratory. In this paper, an algorithm for continuous respiratory monitoring using nasal pressure airflow measurement for portable monitoring systems is developed. It allows detecting precisely, inhale and exhale peaks in airflow signal. Hence, essential parameters and different analyses of the airflow signal are determined. To examine the algorithm an airflow signal was obtained using portable cardiorespiratory system Kardiotehnika 04-3P(M) during night sleep and used to analyse the performance of the algorithm.\",\"PeriodicalId\":162457,\"journal\":{\"name\":\"2022 XXV International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 XXV International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/scm55405.2022.9794834\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scm55405.2022.9794834","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Algorithm for Continuous Respiratory Monitoring Using Nasal Pressure Airflow Measurement
Sleep breathing disorders are health conditions that may affect several aspects of life and have been brought to light over the last five decades. Polysomnography is a golden standard measurement for sleep study. Moreover, it requires special equipment and a sleep laboratory. In this paper, an algorithm for continuous respiratory monitoring using nasal pressure airflow measurement for portable monitoring systems is developed. It allows detecting precisely, inhale and exhale peaks in airflow signal. Hence, essential parameters and different analyses of the airflow signal are determined. To examine the algorithm an airflow signal was obtained using portable cardiorespiratory system Kardiotehnika 04-3P(M) during night sleep and used to analyse the performance of the algorithm.