A review of automated sleep disorder detection
Automated sleep disorder detection is challenging because physiological symptoms can
vary widely. These variations make it difficult to create effective sleep disorder detection …
vary widely. These variations make it difficult to create effective sleep disorder detection …
A systematic review on automatic identification of insomnia
Background: Insomnia is a prevalent sleep disorder characterized by difficulties in initiating
sleep or experiencing non-restorative sleep. It is a multifaceted condition that impacts both …
sleep or experiencing non-restorative sleep. It is a multifaceted condition that impacts both …
Sleep apnea diagnosis using complexity features of EEG signals
Sleep apnea syndrome is one the most prevalent sleep disorders. The accurate diagnosis
and treatment of apnea by physicians can help to avoid its destructive effects in the long …
and treatment of apnea by physicians can help to avoid its destructive effects in the long …
[PDF][PDF] Single-channel EEG processing for sleep apnea detection and differentiation
MA Prucnal, AG Polak - Metrology and Measurement Systems, 2023 - journals.pan.pl
Sleep apnea syndrome is a common sleep disorder. Detection of apnea and differentiation
of its type: obstructive (OSA), central (CSA) or mixed is important in the context of treatment …
of its type: obstructive (OSA), central (CSA) or mixed is important in the context of treatment …