title: Detecting specific health-related events using an integrated sensor system for vital sign monitoring.
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.
authors.affiliation: Department of Mechanical Engineering, Faculty of Engineering, Yamaguchi University, 2-16-1, Tokiwadai, Ube, Yamaguchi, 755-8611, Japan; E-Mails:  adnanemourad@yahoo.fr  (M.A.);  m013ve@yamaguchi-u.ac.jp  (H.J.).
authors.forename: Mourad
authors.initials: M
authors.lastname: Adnane
authors.forename: Zhongwei
authors.initials: Z
authors.lastname: Jiang
authors.forename: Samjin
authors.initials: S
authors.lastname: Choi
authors.forename: Hoyoung
authors.initials: H
authors.lastname: Jang