A wearable respiration monitoring system based on digital respiratory inductive plethysmography

In this paper we present a wearable device for continuous monitoring of respiration signal and the associated algorithm for signal evaluations. The device took advantages of a proven respiratory inductive plethysmograph (RIP) technology and a wireless body sensor networks (BSN) development platform. The textile RIP sensor was integrated into a suit that could be comfortably worn around thorax or abdomen for monitoring respiration during sleep. A smart signal processing algorithm was implemented for extracting the dynamic respiration rate. The results of in-situ experiments from ten healthy subjects suggested that our system worked as intended. Due to the high reliability and low cost of our system it is believed to meet the future demands on home-based monitoring and diagnosis of sleep disorder-related diseases.

[1]  Daming Wei,et al.  Real-Time Monitoring of Respiration Rhythm and Pulse Rate During Sleep , 2006, IEEE Transactions on Biomedical Engineering.

[2]  H. Sasaoka Detection technologies of sleep condition on bio-signal monitoring system , 2004, SICE 2004 Annual Conference.

[3]  N. Bu,et al.  Monitoring of Respiration and Heartbeat during Sleep using a Flexible Piezoelectric Film Sensor and Empirical Mode Decomposition , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Y. T. Zhang,et al.  A Body Sensor Networks Development Platform for Pervasive Healthcare , 2009, 2009 3rd International Conference on Bioinformatics and Biomedical Engineering.

[5]  Niall Moyna,et al.  Combining wireless with wearable technology for the development of on-body networks , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[6]  S.H. Nam,et al.  The Preliminary Study of Unobtrusive respiratory monitoring for e-health , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[7]  K.M. Chang,et al.  Bluetooth Based Wireless Sleep Remote Monitoring System , 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

[8]  O. Boric-Lubecke,et al.  A digital signal processor for Doppler radar sensing of vital signs , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Conor Heneghan,et al.  Assessment of sleep/wake patterns using a non-contact biomotion sensor , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  Sungmee Park,et al.  Enhancing the quality of life through wearable technology , 2003, IEEE Engineering in Medicine and Biology Magazine.

[11]  E. Naujokat,et al.  Sleep Monitoring Through a Textile Recording System , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  Wen-Tzeng Huang,et al.  Textiles digital sensors for detecting breathing frequency , 2008, 2008 5th International Summer School and Symposium on Medical Devices and Biosensors.

[13]  L. Szilagyi,et al.  On-line detection of sleep apnea during critical care monitoring , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

[14]  Zoltán Benyó,et al.  A novel method for the detection of apnea and hypopnea events in respiration signals , 2002, IEEE Transactions on Biomedical Engineering.