Development of a Modular Biopotential Amplifier Trainer for Biomedical Instrumentation Laboratory Experiments
Science Journal of Circuits, Systems and Signal Processing
Volume 7, Issue 2, June 2018, Pages: 48-59
Received: Feb. 20, 2018;
Accepted: Mar. 8, 2018;
Published: Mar. 29, 2018
Views 1072 Downloads 89
Saiful Islam Khan, Department Electrical and Electronic Engineering, American International University Bangladesh, Dhaka, Bangladesh
Fakrul Islam Tushar, Department Electrical and Electronic Engineering, American International University Bangladesh, Dhaka, Bangladesh
Md. Amirul Islam Rokan, Department Electrical and Electronic Engineering, American International University Bangladesh, Dhaka, Bangladesh
Rupu Chowdhury, Department Electrical and Electronic Engineering, American International University Bangladesh, Dhaka, Bangladesh
Follow on us
This paper presents the design, development and implementation of a reconfigurable low-cost biopotential amplifier trainer module (RTR module) and quantitative analysis of the students’ compatibility with the trainer module. The trainer module can measure Electrocardiogram (ECG), Electroencephalogram (EEG) and Electromyogram (EMG) biopotential signals by reconfiguring the module using the basic circuit and filtering blocks. Given hand on experience, the module is designed and implemented in such reconfigurable manner that the students can avoid, disconnect and add any filtering blocks to understand the effect of these filters to the biopotential signals. The laboratory experience is an important component of the learning process. The RTR module is a low cost and compact educational tool. With this RTR module, the students should be able to recognize the biopotential signals and the acquisition methods in an intuitive and easy way, allowing them to improve their skills of designing biomedical instrumentation.
Biopotential, Electrocardiogram, Biomedical Instrumentation
To cite this article
Saiful Islam Khan,
Fakrul Islam Tushar,
Md. Amirul Islam Rokan,
Development of a Modular Biopotential Amplifier Trainer for Biomedical Instrumentation Laboratory Experiments, Science Journal of Circuits, Systems and Signal Processing.
Vol. 7, No. 2,
2018, pp. 48-59.
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
L. A. K, "The web’s where you study in!," 2008. [Online]. Available:http://www.ustudy.in/node/5029. Accessed: Jul. 24, 2016.
Nelson CV, Geselowitz DB (eds.) (1976): “The Theoretical Basis of Electrocardiology”, 544 pp. Oxford University Press, Oxford.
Carlo J. De Luca, Surface Electromyography: Detection and Recording. Delsys Incorporated, 2002.
M. B. I. Raez, M. S. Hussain and F. Mohd-Yasin, “Techniques of EMG signal analysis: detection, processing, classification and applications,”Biol. Proced. Online 2006; 8 (1):11-35.doi:10.1251/bpo115 March 23, 2006.
M. S. J. Steyaert and W. M. C. Sansen, “A micropower low-noise monolithic instrumentation amplifier for medical purposes,” IEEE J. Solid-State Circuits, vol. 22, no. 6, pp. 1163–1168, 1987.
J.G. Webster, “Implementing guided design in a medical instrumentation course,” IEEE Transactions on Education, vol. 22, no. 2, pp. 110 – 116, 1979.
M. Guermandi, A. Bigucci, E. F. Scarselli and R. Guerrieri, "EEG acquisition system based on active electrodes with common-mode interference suppression by Driving Right Leg circuit," 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan,2015,pp. 3169-3172.doi: 10.1109/EMBC.2015.7319065.
B. Vermani, N. Hooda and N. Kumar, "Parametric evaluation of EEG signal during Eyes Close and Eyes Open state," 2015 Annual IEEE India Conference (INDICON), New Delhi, 2015, pp. 1-5.doi: 10.1109/INDICON.2015.7443754.
M. H. Fan, M. H. Guan, Q. C. Chen and L. H. Wang, "Three-lead ECG detection system based on an analog front-end circuit ADS1293," 2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), Taipei, 2017, pp. 107-108.doi: 10.1109/ICCE-China.2017.7991018.
U. Biswas and M. Maniruzzaman, "Removing power line interference from ECG signal using adaptive filter and notch filter," 2014 International Conference on Electrical Engineering and Information & Communication Technology, Dhaka, 2014, pp. 1-4.doi: 10.1109/ICEEICT.2014.6919072.