A Convolutional Neural Network Framework for Sleep Apnea Detection via Ballistocardiography Signals

The clinical diagnosis of sleep apnea conventionally necessitates resource-intensive Polysomnography (PSG). We propose a weakly supervised framework to detect apnea using non-invasive Ballistocardiography (BCG), thereby addressing the critical scarcity of labeled BCG data. Instead of manual annotati...

Disgrifiad llawn

Manylion Llyfryddiaeth

Prif Awduron:	Domenico Di Sivo, Palma Errico, Pietro Fusco, Salvatore Venticinque
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2026-03-01
Cyfres:	Applied Sciences
Pynciau:	artificial intelligence machine learning ballistocardiography sleep disorder electrocardiography convolutional neural network
Mynediad Ar-lein:	https://www.mdpi.com/2076-3417/16/7/3314
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!