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Detecting Specific Health-Related Events Using an Integrated Sensor System for Vital Sign Monitoring
Department of Mechanical Engineering, Faculty of Engineering, Yamaguchi University, 2-16-1, Tokiwadai, Ube, Yamaguchi, 755-8611, Japan
Department of Biomedical Engineering, School of Medicine, Kyunghee University, #1 Hoeki-dong, Dongdaemun-gu, Seoul 130-702, Korea
Healthcare Industry Research Institute, Kyung Hee University, Seoul, 130-702, Korea
* Author to whom correspondence should be addressed.
Received: 11 June 2009; Accepted: 24 August 2009 / Published: 1 September 2009
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.
Keywords: wearable sensor; home healthcare; integrated sensors system; RR interval; respiratory cycle variability; time series analysis; sleep apnea
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Cite This Article
MDPI and ACS Style
Adnane, M.; Jiang, Z.; Choi, S.; Jang, H. Detecting Specific Health-Related Events Using an Integrated Sensor System for Vital Sign Monitoring. Sensors 2009, 9, 6897-6912.
Adnane M, Jiang Z, Choi S, Jang H. Detecting Specific Health-Related Events Using an Integrated Sensor System for Vital Sign Monitoring. Sensors. 2009; 9(9):6897-6912.
Adnane, Mourad; Jiang, Zhongwei; Choi, Samjin; Jang, Hoyoung. 2009. "Detecting Specific Health-Related Events Using an Integrated Sensor System for Vital Sign Monitoring." Sensors 9, no. 9: 6897-6912.