No Access

SENSORY SIGNAL PROCESSING ISSUES IN A TELEMEDICINE SYSTEM

Industrial Automation Laboratory, Department of Mechanical Engineering, The University of British Columbia, Vancouver, Canada

Corresponding author.

Search for more papers by this author

SHAN XIAO

Industrial Automation Laboratory, Department of Mechanical Engineering, The University of British Columbia, Vancouver, Canada

Search for more papers by this author

MAOQING LI

Industrial Automation Laboratory, Department of Mechanical Engineering, The University of British Columbia, Vancouver, Canada

Xiamen University, College of Information Science and Technology, China

Search for more papers by this author

, and

CHERYL N. DE SILVA

Industrial Automation Laboratory, Department of Mechanical Engineering, The University of British Columbia, Vancouver, Canada

Staten Island University Hospital, NY, USA

Search for more papers by this author

https://doi.org/10.1142/S0219878913500137Cited by:0 (Source: Crossref)

Abstract

A telemedicine system will provide sustainable, comprehensive, low-cost, fast, private, and convenient access to medical consultation and diagnosis for patients from remote locations. The telemedicine system addressed in this paper consists of a sensor jacket, which is worn by the patient for medical monitoring. The signals sensed through the jacket are processed and transmitted through a public telecommunication link, to a medical professional in a hospital at distance. The medical professional interacts with the patient through audio and video links, and simultaneously examines the data transmitted by the monitoring system. Medical assessment, diagnosis, and prescription are carried out on this basis. Sensing and signal processing are paramount to providing the patient data to the medical professional in an accurate and effective manner. This paper presents some relevant issues and techniques. Specific examples of electrocardiograms and respiratory signals are provided to illustrate the applicable signal conditioning approaches. Results are presented to demonstrate the feasibility and the effectiveness of these methods.

Keywords:

References

M. Baranwal, M. T. Khan and C. W. de Silva, Int. J. Inf. Acquisition 8(2), 103 (2011). Link, Google Scholar
Bonato, P. [2003] "Wearable sensors/systems and their impact on biomedical engineering," IEEE Eng. Med. Biol. Mag. 22, 18–20 . Google Scholar
C. W. De Silva , Sensors and Actuators — Control System Instrumentation ( Taylor & Francis , Boca Raton, FL , 2007 ) . Crossref, Google Scholar
L. Docksteader and R. Benlamri, IT Proc. 12(3), 18 (2010). Crossref, Web of Science, Google Scholar
A. Godfrey et al. , Med. Eng. Phys. 30 , 1364 ( 2008 ) . Crossref, Web of Science, Google Scholar
F. Khoshnoud and C. W. de Silva, IEEE Instrum. Measure. 15(1), 8 (2012). Crossref, Web of Science, Google Scholar
N. H. Lovell and S. J. Redmond, Advances in Biomedical Sensing, LNEE 55, eds. S. C. Mukhopadhyay and A. Lay-Ekuakille (Springer-Verlag, Berlin, Germany, 2010) pp. 263–280. Google Scholar
M. Q. Meng, Med. Acupuncture 20(3), 175 (2008). Crossref, Google Scholar
K. O'Rourke, M. Kawakami and M. F. O'Rourke, Circ. J. J. Soc. 70(10), 1231 (2006). Crossref, Web of Science, Google Scholar
M. F. O'Rourke and D. E. Gallagher, J. Hypertension 14(1), 147 (1996). Crossref, Web of Science, Google Scholar
M. F. O'Rourke, A. Pauca and X. J. Jiang, Br. J. Clin. Pharmacol. 21(3), 463 (2001). Google Scholar
T. Shanyet al., IEEE Sens. J. 12(3), 658 (2012). Crossref, Web of Science, Google Scholar
J. A. Staessen , Lancet 355 , 865 ( 2000 ) . Crossref, Web of Science, Google Scholar
P. Van de Venet al., Integration of a suite of sensors in a wireless health sensor platform, Proc. IEEE Sens. Conf. (2009) pp. 1678–1683. Google Scholar
J. Wu, Sensors 7(12), 3366 (2007). Crossref, Web of Science, Google Scholar
Y. Xieet al., Effect of ECG quality measures on piecewise-linear trend detection for telehealth decision support systems, 32nd Annual Int. Conf. IEEE EMBS (2010) pp. 2877–2880. Google Scholar