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Design and Development of a Virtual Instrument for Bio-Signal Acquisition and Processing Using Labview

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Design and Development of a Virtual Instrument for Bio-Signal Acquisition and Processing Using Labview
ISSN: 2278 – 8875
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 1, Issue 1, July 2012

Design and development of a Virtual Instrument for Bio-signal Acquisition and Processing using LabVIEW
Patterson Casmir D’Mello1, Sandra D’Souza2
Department of Instrumentation & Control Engineering, M.I.T, Manipal1,2
Sandra.dsouza@manipal.edu , pattersoncasmir@gmail.com
1 2

Abstract: The increased performance of personal computers and their reduced cost has made it possible for development of PC based signal processing systems.Hospitals need several measurement systems that can measure physiological parameters of the patients. Although diagnostic medical instruments have been widely used, combining virtual instrument technology to achieve the purpose of physiological measurement has several benefits. These systems are efficient and cost-effective for acquiring and analyzing biomedical signals. Utilizing virtual instrumentation to achieve physiological measurement will largely decrease the cost and increase the flexibility of the instruments.This workaims at designing a virtual instrument for acquiring and processing of Electrooculogram signal. Electrooculography (EOG) is a technique for measuring the resting potential of the retina. Keywords: Data acquisition, signal processing, LabVIEW, Virtual Instrument, EOGmeasurement I. INTRODUCTION Hospitals need several measurement systems that can measure physiological parameters of the patient. Measurement systems should be able to measure accurately the vitals of patient like heart conditions, body temperature, electrical activity of the heart, electrical activity of the brain etc. This information should be readily available to the doctors for diagnosis and proper treatment. PCbased signal acquisition, and analysis is an efficient and cost effective method forbiomedical signal acquisition and monitoring. Isolation of the subject from the electronic circuitry is very



References: [1].Parten, M. (2003). Using virtual instruments in ameasurements laboratory. Proceedings of the 2003 AmericanSociety for Engineering Education Annual Conference &Exposition, June 22-26, 2003. [2].MrinalTrikhal, Tapan Gandhi, AyushBhandari, and Vijay Kharel, ‘Multiple Channel Electrooculogram Classification using Automata’, International Workshop on Medical Measurements and Applications, - 2007. [3] R. Barea, L. Bosquete, M. Mazo, and E. Lopez, “System for assisted mobility using eye movementsbased on electrooculography,” IEEE Trans. Rehab. Eng., vol. 10, no. 4, pp. 209-217, 2002. [4] J. Gips and P. Olivieri, “Eagle Eyes: An eye control system for persons with disabilities,” 11th Int.Conf. Tech. Persons Disabilities, Mar.1996. [5] Y. Kuno, T. Yagi, I. Fujii, K. Koga, and Y. Uchikawa, “Development of eye-gaze input interface usingEOG,” Trans. Inf. Processing Soc. Jap., vol. 39, no. 5, pp. 1455-1462, May 1998. [6] T. Gandhi, M. Trikha, J. Santosh and S. Anand, “VHDL Based Electro-Oculogram Signal Classification”, 15th International Conference on Advanced Computing and Communications 2007, IEEE computer Society. [7]AysegulGuven, Sadik Kara, “Classification of electrooculogram signals using artificial neural network”, Expert systems with Applications, 31 (2006) 199-205, Elsevier. .[8]B.Grinstead, M.E. Parten; Biomedical signal acquisition using “Labview”. Computer-Based Medical Systems, 1998.Proceedings. 11th IEEE Symposium on; pp: 157 – 161; ISSN: 1063-7125. [9]Geddes, L. A., ‘Principles of applied biomedical instrumentation’, Wiley, New York, 1989. [10].J. G. Webster, ‘Medical Instrumentation: Application and Design’. 3rd Ed. New York: John Wiley & Sons, Inc., 1998. Biography Patterson is a student of masters in control systems under the department of Instrumentation and Control Engineering. His major interests are in the field of virtual instrumentation and control Engineering. Sandra D’Souza, is a faculty of the department of instrumentation and control Engineeringand a research scholar in the area of biomedical signal processing. Her major interests are in the field of digital signal processing and bio signal processing. Copyright to IJAREEIE www.ijareeie.com 9

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