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.
This work has been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.
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Alves, R., Matos, P., Ascensão, J., Camelo, D. (2023). eSleepApnea - A Tool to Aid the Detection of Sleep Apnea. In: Cunha, A., M. Garcia, N., Marx Gómez, J., Pereira, S. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 484. Springer, Cham. https://doi.org/10.1007/978-3-031-32029-3_21
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DOI: https://doi.org/10.1007/978-3-031-32029-3_21
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