Add to ORKGMethods of analysis of electroencephalogram (EEG) signals using artificial neural networks are presented, as well as subsequent methods of detection of obstructive sleep apnoea (OSA). The methods of detection described are based on post-processing sleep state probabilities obtained with a 10-6-4 multi-layer perceptron. Results show periodic changes in sleep states highly correlated with changes in blood oxygen saturation
Nowadays, with the development of modern technology, we can detect sleep apnea by using Electroencep...
Sleep apnea (SA) is recognized as the most important and common type of sleep disorders with several...
Obstructive sleep apnea (OSA), a very common sleep disorder remains as an underdiagnosed root cause ...
Traditionally EEG sleep fragmentation is scored according to simple arbitrary thresholds which ignor...
Abstract—Electroencephalogram (EEG) is able to indicate states of mental activity ranging from conce...
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is known to cause daytime drowsiness and an associ...
The advancement of telecommunication technologies has provided us with new promising alternatives fo...
Obstructive Sleep Apnea (OSA) is the most common type of sleep apnea. OSA is caused by an obstructio...
Abstract—In psychiatry, the sleep stage is one of the most impor-tant evidence for diagnosing mental...
Copyright © 2006 SPIE--The International Society for Optical EngineeringThis paper investigates the ...
Obstructive sleep apnea (OSA) is a disorder that affects up to 38% of the western population. It is ...
Obstructive sleep apnea is a syndrome which is characterized by the decrease in air flow or respirat...
The study in this paper presents a one-dimensional convolutional neural network (1DCNN) model, desig...
This work describes the development of a new approach to NN processing of sleep-related brain electr...
Obstructive sleep apnea (OSA) is a disorder that affects up to 38% of the western population. It is ...
Nowadays, with the development of modern technology, we can detect sleep apnea by using Electroencep...
Sleep apnea (SA) is recognized as the most important and common type of sleep disorders with several...
Obstructive sleep apnea (OSA), a very common sleep disorder remains as an underdiagnosed root cause ...
Traditionally EEG sleep fragmentation is scored according to simple arbitrary thresholds which ignor...
Abstract—Electroencephalogram (EEG) is able to indicate states of mental activity ranging from conce...
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is known to cause daytime drowsiness and an associ...
The advancement of telecommunication technologies has provided us with new promising alternatives fo...
Obstructive Sleep Apnea (OSA) is the most common type of sleep apnea. OSA is caused by an obstructio...
Abstract—In psychiatry, the sleep stage is one of the most impor-tant evidence for diagnosing mental...
Copyright © 2006 SPIE--The International Society for Optical EngineeringThis paper investigates the ...
Obstructive sleep apnea (OSA) is a disorder that affects up to 38% of the western population. It is ...
Obstructive sleep apnea is a syndrome which is characterized by the decrease in air flow or respirat...
The study in this paper presents a one-dimensional convolutional neural network (1DCNN) model, desig...
This work describes the development of a new approach to NN processing of sleep-related brain electr...
Obstructive sleep apnea (OSA) is a disorder that affects up to 38% of the western population. It is ...
Nowadays, with the development of modern technology, we can detect sleep apnea by using Electroencep...
Sleep apnea (SA) is recognized as the most important and common type of sleep disorders with several...
Obstructive sleep apnea (OSA), a very common sleep disorder remains as an underdiagnosed root cause ...