W. Auccahuasi, Sandra Meza, K. Rojas, Oscar Linares, Miryam Inciso-Rojas, Aly Auccahuasi, Edward Flores, E. Felix, J. Aybar, Tamara Pando-Ezcurra
{"title":"Low-Cost Video System for the Monitoring Process in the Detection of Sleep Apnea","authors":"W. Auccahuasi, Sandra Meza, K. Rojas, Oscar Linares, Miryam Inciso-Rojas, Aly Auccahuasi, Edward Flores, E. Felix, J. Aybar, Tamara Pando-Ezcurra","doi":"10.1145/3577148.3577149","DOIUrl":null,"url":null,"abstract":"In the process of detection and diagnosis of sleep apnea, we find multiple complex systems that perform the evaluation of the characteristic parameters of this pathology, such as heart rate monitoring, measurement of breathing rate, the presence of snoring, leg movement, among others. Each of them allows the identification of the degree of sleep APNEA. In the present work we present a low cost vision system for monitoring body movement when the person is sleeping, the system presented allows to evaluate the person at home, without the need to be in a specialized center, the connectivity of the equipment allows to evaluate the patient remotely, as well as allows an evaluation of the video recording, only in the case that the patient presents some characteristic movement, the system only records when the patient moves. The system can be applied and scaled depending on the required conditions. Accompanying the video recording we use smart watches to evaluate the levels of sleep, oxygen saturation and heart rate, as a result we present the data of the averages obtained to synchronize with the recording.","PeriodicalId":107500,"journal":{"name":"Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3577148.3577149","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 the process of detection and diagnosis of sleep apnea, we find multiple complex systems that perform the evaluation of the characteristic parameters of this pathology, such as heart rate monitoring, measurement of breathing rate, the presence of snoring, leg movement, among others. Each of them allows the identification of the degree of sleep APNEA. In the present work we present a low cost vision system for monitoring body movement when the person is sleeping, the system presented allows to evaluate the person at home, without the need to be in a specialized center, the connectivity of the equipment allows to evaluate the patient remotely, as well as allows an evaluation of the video recording, only in the case that the patient presents some characteristic movement, the system only records when the patient moves. The system can be applied and scaled depending on the required conditions. Accompanying the video recording we use smart watches to evaluate the levels of sleep, oxygen saturation and heart rate, as a result we present the data of the averages obtained to synchronize with the recording.