Detecting Specific Health-Related Events Using an Integrated Sensor System for Vital Sign Monitoring

Sensors

Mourad Adnane²  Zhongwei Jiang²  Samjin Choi¹ 

[1] Department of Biomedical Engineering, School of Medicine, Kyunghee University, #1 Hoeki-dong, Dongdaemun-gu, Seoul 130-702, Korea; E-Mail:;Department of Mechanical Engineering, Faculty of Engineering, Yamaguchi University, 2-16-1, Tokiwadai, Ube, Yamaguchi, 755-8611, Japan; E-Mails:

关键词: wearable sensor;    home healthcare;    integrated sensors system;    RR interval;    respiratory cycle variability;    time series analysis;    sleep apnea;   

DOI  :  10.3390/s90906897

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2009 by the authors; licensee MDPI, Basel, Switzerland