An Adaptive Sleep Apnea Detection Model Using Multi Cascaded Atrous-Based Deep Learning Schemes With Hybrid Artificial Humming Bird Pity Beetle Algorithm

An Adaptive Sleep Apnea Detection Model Using Multi Cascaded Atrous-Based Deep Learning Schemes With Hybrid Artificial Humming Bird Pity Beetle Algorithm

Obstructive Sleep Apnea (OSA) is the cessation in breathing that must be identified as early as possible to save the patient’s life. Apart from physical diagnosis, a deep learning model can serve the purpose of detecting the apnea swiftly. The detection largely depends upon biological sig...

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Bibliographic Details
Main Authors: Selvaraj Aswath, Valarmathi Ravichandran Shanmuga Sundaram, Miroslav Mahdal
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial hummingbird pity beetle algorithm
atrous based deep learning schemes
ECG
feature concatenation
feature extraction
STFT
Online Access:https://ieeexplore.ieee.org/document/10264064/

Internet

https://ieeexplore.ieee.org/document/10264064/

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