Low-cost wireless sensor networks for remote cardiac patients monitoring applications

One of today's most pressing matters in medical care is response time to patients in need. Scope of this research is to suggest a solution that would help reduce response time in emergency situations utilizing technologies of wireless sensor networks. The enhanced power efficiency, minimized production cost, condensed physical layout, and reduced wired connections present a much more proficient and simplified approach to the continuous monitoring of patients' physiological status. The proposed sensor network system is composed of wearable vital sign sensors and a workstation monitor. The wearable platforms are to be distributed to patients of concern. The wearable platforms can provide continuous electrocardiogram (ECG) monitoring by measuring electrical potentials between various points of the body using a galvanometer. They will then relay the ECG signals wirelessly to the workstation monitor. In addition to displaying the data, the workstation will also perform signal wavelet transformation for ECG characteristic extractions. Copyright © 2007 John Wiley & Sons, Ltd.

[1]  Yang Xiao,et al.  Security and privacy in RFID and applications in telemedicine , 2006, IEEE Commun. Mag..

[2]  Matt Welsh,et al.  Sensor networks for medical care , 2005, SenSys '05.

[3]  Fei Hu,et al.  Towards a Secure, RFID / Sensor Based Telecardiology System , 2007, 2007 4th IEEE Consumer Communications and Networking Conference.

[4]  Juan J. Villanueva Proceedings of the fifth IASTED International Conference on Visualization, Imaging, and Image Processing, September 7-9, 2005, Benidorm, Spain , 2005 .

[5]  Amara Lynn Graps,et al.  An introduction to wavelets , 1995 .

[6]  David A. Wagner,et al.  TinySec: a link layer security architecture for wireless sensor networks , 2004, SenSys '04.

[7]  W. J. Tompkins,et al.  Estimation of QRS Complex Power Spectra for Design of a QRS Filter , 1984, IEEE Transactions on Biomedical Engineering.

[8]  Daisuke Takahashi,et al.  Telemedicine Usage and Potentials , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[9]  A. Guyton,et al.  Textbook of Medical Physiology , 1961 .

[10]  Matt Welsh,et al.  MoteTrack: A Robust, Decentralized Approach to RF-Based Location Tracking , 2005, LoCA.

[11]  A. Geva,et al.  ECG feature extraction using optimal mother wavelet , 2000, 21st IEEE Convention of the Electrical and Electronic Engineers in Israel. Proceedings (Cat. No.00EX377).

[12]  Stéphane Mallat,et al.  Characterization of Signals from Multiscale Edges , 2011, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  C. Li,et al.  Detection of ECG characteristic points using wavelet transforms. , 1995, IEEE transactions on bio-medical engineering.