Effect of windowing on central apnea detection

Author

Townsend, Daphne ; Holtzman, Megan ; Goubran, Rafik ; Frize, Monique ; Knoefel, Frank

Author_Institution

Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada

fYear

2010

fDate

April 30 2010-May 1 2010

Firstpage

117

Lastpage

120

Abstract

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.

Keywords

biosensors; medical disorders; medical signal detection; medical signal processing; moving average processes; plethysmography; pressure sensors; sensor arrays; signal classification; sleep; beds; central apnea detection; classification; moving average windowing; plethysmography; signal processing; sleep disturbances; smart homes; unobtrusive pressure sensor array; window elimination; Abdomen; Computerized monitoring; Home computing; Protocols; Sensor arrays; Sensor systems; Signal detection; Signal processing algorithms; Sleep apnea; Wearable sensors; apnea classification; central apnea; pressure sensor array; unobtrusive sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Measurements and Applications Proceedings (MeMeA), 2010 IEEE International Workshop on

Conference_Location

Ottawa, ON

Print_ISBN

978-1-4244-6288-9

Type

conf

DOI

10.1109/MEMEA.2010.5480221

Filename

5480221