Attention-Based Transfer Learning for Efficient Obstructive Sleep Apnea (OSA) Classification on Snore Sound

Attention-Based Transfer Learning for Efficient Obstructive Sleep Apnea (OSA) Classification on Snore Sound

Polysomnography (PSG) is currently the gold-standard technique for classifying sleep apnea disorders. Yet, it is costly and requires an expert to score the severity, making it impractical for self-screening and home use. Snore sound classification with Deep Learning (DL) is a promising approach and...

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Bibliographic Details
Main Authors: Apichada Sillaparaya, Yuttapong Jiraraksopakun, Kosin Chamnongthai, Apichai Bhatranand
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Obstructive sleep apnea (OSA)
snore sound
deep learning (DL)
OSA classification
transfer learning
Online Access:https://ieeexplore.ieee.org/document/11018873/
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