Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea

Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea

Obstructive sleep apnea (OSA) is a long-term sleep disorder that causes temporary disruption in breathing while sleeping. Polysomnography (PSG) is the technique for monitoring different signals during the patient’s sleep cycle, including electroencephalogram (EEG), electromyography (EMG), electrocar...

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Dades bibliogràfiques
Autors principals: Kandukuri Usha Rani, Prakash Allam Jaya, Patro Kiran Kumar, Neelapu Bala Chakravarthy, Tadeusiewicz Ryszard, Pławiak Paweł
Format: Article
Idioma:English
Publicat: Sciendo 2023-09-01
Col·lecció:International Journal of Applied Mathematics and Computer Science
Matèries:
apnea
convolutional neural network
constant q-transform
deep learning
single-lead ecg signals
non-apnea
obstructive sleep apnea
Accés en línia:https://doi.org/10.34768/amcs-2023-0036

Internet

https://doi.org/10.34768/amcs-2023-0036

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