Treatment of obstructive sleep apnea syndrome by monitoring patients airflow signals
The breathing patterns from sleeping persons suffering from sleep apnea have been measured. A method based on the neural network-like O-algorithm has been applied to capture the onset of sleep apnea. This method is suggested as an indicator for early on-line detection of obstructions in the upper airway. Results from the system tested with airflow signals recorded from five patients during sleep indicate acceptable performance and treatment for developing apnea is possible.
sleep apnea syndrome o-algorithm neural networks wavelet transform