Hybridization of soft-computing algorithms with neural network for prediction obstructive sleep apnea using biomedical sensor measurements
Sleep apnea (SA) is a common respiratory disorder, especially among obese people. It is
caused by either the relaxation of the upper respiratory tract muscles or the failure of the …
caused by either the relaxation of the upper respiratory tract muscles or the failure of the …
SABiNN: FPGA implementation of shift accumulate binary neural network model for real-time automatic detection of sleep apnea
This paper presents an energy-efficient digital hardware system design implemented on
FPGA for real-time automatic detection of sleep apnea by embedding a proposed hardware …
FPGA for real-time automatic detection of sleep apnea by embedding a proposed hardware …
A sleep apnea system based on heart rate and SpO2 measurements: Performance validation
Sleep apnea disorder is one of the most widespread respiratory syndromes, interrupting
breathing by preventing air from entering the lungs. This paper documents the design and …
breathing by preventing air from entering the lungs. This paper documents the design and …
EEG Spectrograms to Determine Occurrence or Absence of Sleep Apnoea Using Deep Learning
K Datta - Sleep and Vigilance, 2024 - Springer
Purpose Sleep apnoea has an increased mortality and morbidity. The diagnosis of the
disease is cumbersome and very resource intensive. In a setup where the individual health …
disease is cumbersome and very resource intensive. In a setup where the individual health …
An Analytics of Sleep Apnea Classification using Caswideresnet Algorithm
NJ Rahman - Communications on Applied Nonlinear …, 2024 - internationalpubls.com
Sleep apnea is a common yet serious sleep disorder that affects millions of individuals
worldwide. Timely and accurate detection of sleep apnea can significantly improve patient …
worldwide. Timely and accurate detection of sleep apnea can significantly improve patient …