Author： Adnane Mourad Jiang Zhongwei Choi Samjin Jang Hoyoung
Publisher： MDPI
E-ISSN： 1424-8220|9|9|6897-6912
ISSN： 1424-8220
Source： Sensors, Vol.9, Iss.9, 2009-09, pp. : 6897-6912
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Abstract
In this paper, a new method for the detection of apnea/hypopnea periods in physiological data is presented. The method is based on the intelligent combination of an integrated sensor system for long-time cardiorespiratory signal monitoring and dedicated signal-processing packages. Integrated sensors are a PVDF film and conductive fabric sheets. The signal processing package includes dedicated respiratory cycle (RC) and QRS complex detection algorithms and a new method using the respiratory cycle variability (RCV) for detecting apnea/hypopnea periods in physiological data. Results show that our method is suitable for online analysis of long time series data.
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