[HTML][HTML] Artificial intelligence in sleep medicine: Present and future
Artificial intelligence (AI) has impacted many areas of healthcare. AI in healthcare uses
machine learning, deep learning, and natural language processing to analyze copious …
machine learning, deep learning, and natural language processing to analyze copious …
Improving snore detection under limited dataset through harmonic/percussive source separation and convolutional neural networks
FD González-Martínez, JJ Carabias-Orti… - Applied Acoustics, 2024 - Elsevier
Snoring, an acoustic biomarker commonly observed in individuals with Obstructive Sleep
Apnoea Syndrome (OSAS), holds significant potential for diagnosing and monitoring this …
Apnoea Syndrome (OSAS), holds significant potential for diagnosing and monitoring this …
Multi-Feature Automatic Extraction for Detecting Obstructive Sleep Apnea Based on Single-Lead Electrocardiography Signals
Obstructive sleep apnea (OSA), a prevalent sleep disorder, is intimately associated with
various other diseases, particularly cardiovascular conditions. The conventional diagnostic …
various other diseases, particularly cardiovascular conditions. The conventional diagnostic …
Noise-Robust Sleep States Classification Model Using Sound Feature Extraction and Conversion
S Ko, S Min, YS Choi, WJ Kim… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This study proposes an effective state classification model for sleep, which is crucial for
improving daily functioning and overall quality of life. We delve into the extraction of auditory …
improving daily functioning and overall quality of life. We delve into the extraction of auditory …
CNN-SENet: A Convolutional Neural Network Model for Audio Snoring Detection Based on Channel Attention Mechanism
Z Mao, S Duan, X Zhang, C Zhang, H Fan… - … on Intelligent Computing, 2024 - Springer
Snoring is recognised as an independent risk factor for cardiovascular disease, making its
monitoring crucial for disease prevention and management. Existing technologies face …
monitoring crucial for disease prevention and management. Existing technologies face …
[PDF][PDF] Identificazione di apnee notturne del sonno tramite segnali audio e algoritmi avanzati di Deep Learning
D LILLINI - 2022 - tesi.univpm.it
La sindrome delle apnee notturne rappresenta un complesso di disturbi respiratori che si
manifestano durante il sonno, caratterizzati da episodi di ostruzione totale o parziale delle …
manifestano durante il sonno, caratterizzati da episodi di ostruzione totale o parziale delle …