Effect of windowing on central apnea detection

The detection of central apneas using an unobtrusive pressure sensor array installed in the beds of smart homes could allow comfortable diagnosis of sleep disturbances. To improve central apnea detection, two methods of improving the results of apneas classified by a previously developed method are presented: moving average windowing and window elimination. The first improved classifier sensitivity, while the second improved the specificity with better duration estimation. However, it was slightly more likely to miss apnea segments altogether.