Research Article
eSleepApnea - A Tool to Aid the Detection of Sleep Apnea
@INPROCEEDINGS{10.1007/978-3-031-32029-3_21, author={Rui Alves and Paulo Matos and Jo\"{a}o Ascens\"{a}o and Diogo Camelo}, title={eSleepApnea - A Tool to Aid the Detection of Sleep Apnea}, proceedings={Wireless Mobile Communication and Healthcare. 11th EAI International Conference, MobiHealth 2022, Virtual Event, November 30 -- December 2, 2022, Proceedings}, proceedings_a={MOBIHEALTH}, year={2023}, month={5}, keywords={Sleep Apnea Sensors Network Microwave Sensor Arduino IoT}, doi={10.1007/978-3-031-32029-3_21} }- Rui Alves
Paulo Matos
João Ascensão
Diogo Camelo
Year: 2023
eSleepApnea - A Tool to Aid the Detection of Sleep Apnea
MOBIHEALTH
Springer
DOI: 10.1007/978-3-031-32029-3_21
Abstract
Nowadays, the appearance of chronic respiratory diseases is something increasingly common. A good example is sleep apnea, a respiratory disease characterized by recurrent episodes of pharyngeal collapse. It’s a disease unknown by one part of the population, but when not controlled in time allows the emergence of other diseases. The complexity of symptoms, which are often diseases that arise as a consequence of apnea (e.g. arterial hypertension), makes its diagnosis difficult to be made, leading, in the long term, to a considerable reduction in the quality of life of patients. This paper presents an IoT solution for detecting sleep apnea signals, without the need to place auxiliary devices in the patient’s body.
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