%0 Journal Article
%T Detecting Specific Health-Related Events Using an Integrated Sensor System for Vital Sign Monitoring
%A Mourad Adnane
%A Zhongwei Jiang
%A Samjin Choi
%A Hoyoung Jang
%J Sensors
%D 2009
%I MDPI AG
%R 10.3390/s90906897
%X 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.
%K wearable sensor
%K home healthcare
%K integrated sensors system
%K RR interval
%K respiratory cycle variability
%K time series analysis
%K sleep apnea
%U http://www.mdpi.com/1424-8220/9/9/6897