TY - GEN
T1 - Low-Cost Video System for the Monitoring Process in the Detection of Sleep Apnea
AU - Auccahuasi, Wilver
AU - Meza, Sandra
AU - Rojas, Karin
AU - Linares, Oscar
AU - Inciso-Rojas, Miryam
AU - Auccahuasi, Aly
AU - Flores, Edward
AU - Felix, Edwin
AU - Aybar, Justiniano
AU - Pando-Ezcurra, Tamara
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/10/28
Y1 - 2022/10/28
N2 - 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.
AB - 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.
KW - APNEA
KW - analysis
KW - motion
KW - processing
KW - sleep
KW - video
UR - http://www.scopus.com/inward/record.url?scp=85159644465&partnerID=8YFLogxK
U2 - 10.1145/3577148.3577149
DO - 10.1145/3577148.3577149
M3 - Conference contribution
AN - SCOPUS:85159644465
T3 - ACM International Conference Proceeding Series
SP - 1
EP - 5
BT - SSIP 2022 - 2022 5th International Conference on Sensors, Signal and Image Processing
PB - Association for Computing Machinery
T2 - 5th International Conference on Sensors, Signal and Image Processing, SSIP 2022
Y2 - 28 October 2022 through 30 October 2022
ER -