An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis

Obstructive sleep apnea-hypopnea syndrome (OS-AHS) is a common sleep disorder caused by upper airway blockage, leading to oxygen deprivation and disrupted sleep. Traditional diagnosis using polysomnography (PSG) is expensive, time-consuming, and uncomfortable. Existing deep learning methods using fa...

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Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 1 - 5
Hauptverfasser:	Wei, Yingchen, Qiu, Xihe, Tan, Xiaoyu, Huang, Jingjing, Chu, Wei, Xu, Yinghui, Qi, Yuan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.04.2025
Schlagworte:	Accuracy Attention Mesh Clinical BERT Cross Attention Data models Facial features Feature extraction Modality Interaction OSAHS Diagnosis Physiology Semantics Signal processing Sleep apnea Speech processing Visualization
ISSN:	2379-190X
Online-Zugang:	Volltext
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