Now showing items 1-3 of 3
Investigation of Effects of Time Domain Features of the Photoplethysmography (PPG) Signal on Sleep Respiratory Arrests
Obstructive Sleep Apnea Syndrome is one of the major diseases of our century. Diagnosis of this disease is very difficult. The reason of the difficulty is the complexity of the system. AHI index is calculated for the ...
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques
Obstructive sleep apnea is a syndrome which is characterized by the decrease in air flow or respiratory arrest depending on upper respiratory tract obstructions recurring during sleep and often observed with the decrease ...
Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques
It is extremely significant to identify sleep stages accurately in the diagnosis of obstructive sleep apnea. In the study, it was aimed at determining sleep and wakefulness using a practical and applicable method. For this ...