Publicación:
Low-Cost Video System for the Monitoring Process in the Detection of Sleep Apnea

dc.contributor.authorWilver Auccahuasi
dc.contributor.authorSandra Meza
dc.contributor.authorKarin Rojas
dc.contributor.authorOscar Linares
dc.contributor.authorMiryam Inciso-Rojas
dc.contributor.authorAly Auccahuasi
dc.contributor.authorEdward Flores
dc.contributor.authorEdwin Felix
dc.contributor.authorJustiniano Aybar
dc.contributor.authorTamara Pando-Ezcurra
dc.date.accessioned2024-09-20T20:15:45Z
dc.date.available2024-09-20T20:15:45Z
dc.date.issued2022-10-28
dc.description.abstractIn 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.
dc.identifier.doihttps://doi.org/10.1145/3577148.3577149
dc.identifier.urihttps://cris.esan.edu.pe/handle/20.500.12640/406
dc.relation.ispartofProceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.titleLow-Cost Video System for the Monitoring Process in the Detection of Sleep Apnea
dc.typeproceedings-article
dspace.entity.typePublication

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