Smart embedded system for sleep apnea monitoring from ECG signals

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dc.contributor.authorAmmar, Mohammed
dc.contributor.authorMessaoudi, Noureddine
dc.contributor.authorFaked, Djouher
dc.contributor.authorNoui, Rima
dc.contributor.authorMahmoudi, Said
dc.date.accessioned2024-01-17T12:59:47Z
dc.date.available2024-01-17T12:59:47Z
dc.date.issued2023
dc.description.abstractIn this paper, an intelligent monitoring system was proposed to follow vital parameters such as the electrocardiogram (ECG), oxygen saturation (SPO2), the temperature of the patient, and also heart rate. The system is built around a Raspberry 3B+ and an Arduino Uno. The prototype is equipped with an intelligent system that can currently detect sleep apnea from ECG signals. These parameters are detected by the following sensors: AD8232, and MAX 30102. We have implemented and compared three algorithms: Perceproron multi-layer, Support Vector Machine, and a Random Forest Classifier.en_US
dc.identifier.issn0094-243X
dc.identifier.urihttps://doi.org/10.1063/5.0148843
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/12912
dc.identifier.urihttps://pubs.aip.org/aip/acp/article-abstract/2814/1/040007/2901945/Smart-embedded-system-for-sleep-apnea-monitoring?redirectedFrom=fulltext
dc.language.isoenen_US
dc.publisherAmerican Institute of Physicsen_US
dc.relation.ispartofseriesAIP Conference Proceedings : 2nd International Conference on Advances in Communication Technology and Computer Engineering, ICACTCE 2022, Mekne/ Vol. 2814, N° 1, Article N° 040007
dc.subjectSupport vector machineen_US
dc.subjectDiseases and conditionsen_US
dc.subjectMedical diagnosisen_US
dc.subjectHeart rateen_US
dc.titleSmart embedded system for sleep apnea monitoring from ECG signalsen_US
dc.typeArticleen_US

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