We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Optical Sensor based Efficient Internal Body Organ Monitoring

by Muhammad Younus, Pankaj Chakrabarty, Mosharrafa Ahmad
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 11
Year of Publication: 2015
Authors: Muhammad Younus, Pankaj Chakrabarty, Mosharrafa Ahmad
10.5120/21743-4966

Muhammad Younus, Pankaj Chakrabarty, Mosharrafa Ahmad . Optical Sensor based Efficient Internal Body Organ Monitoring. International Journal of Computer Applications. 122, 11 ( July 2015), 11-14. DOI=10.5120/21743-4966

@article{ 10.5120/21743-4966,
author = { Muhammad Younus, Pankaj Chakrabarty, Mosharrafa Ahmad },
title = { Optical Sensor based Efficient Internal Body Organ Monitoring },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 11 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 11-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number11/21743-4966/ },
doi = { 10.5120/21743-4966 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:10:17.100065+05:30
%A Muhammad Younus
%A Pankaj Chakrabarty
%A Mosharrafa Ahmad
%T Optical Sensor based Efficient Internal Body Organ Monitoring
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 11
%P 11-14
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The work has been inspired by the need to find an efficient method for detecting internal disorders of body organs (heart) using optical sensor which is simple and the comparatively newer. The initial task is to gather the ideas and modify them. In this work an idea has been given to detect the internal disorder of heart by using the reflection and refraction of optical sensor and ECG. An optical sensor has been used as a detector which collects the initial signals and two parallel glasses to show the refraction of light and ECG to see output. In this process the data of internal part of body can be easily found. Using some equations and data the disorders and disabilities can be observed. Some data has been generated for healthy parts of body and disordered parts. The differences of obtained data show the effective result of this work. Data obtained from electrocardiogram (ECG) signals provides invaluable tools for diagnosing cardiac disorders.

References
  1. R S Khandpur, "Handbook of Biomedical Instrument", 2nd edition
  2. Md Shoib Farhan, Md kamrul hossain, Asker Ibnea Shaikh, "Determination of r-peak of ECG signal and heart rate using electrical mode decomposition". December, 2010.
  3. Wikipedia, Free Encyclopedia.
  4. Roland, U. ; et al. (2003). "A New Fiber Optical Thermometer and Its Application for Process Control in Strong Electric, Magnetic, and Electromagnetic Fields". Sensor Letters 1: 93–8.
  5. Roland, U. ; et al. (2003). "A New Fiber Optical Thermometer and Its Application for Process Control in Strong Electric, Magnetic, and Electromagnetic Fields". Sensor Letters 1: 93–8.
  6. "An Integrated System for Pipeline Condition Monitoring" Retrieved 2010-09-22.
  7. Kouznetsov, D. ; Moloney, J. V. (2003). "Highly efficient, high-gain, short-length, and power-scalable incoherent diode slab-pumped fiber amplifier/laser". IEEE Journal of Quantum Electronics 39 (11): 1452–1461
  8. Jay M. Enoch, School of Optometry, "History of Mirrors Dating Back 8000 Years" University of California at BerkeleyPer Hadsund, "The Tin-Mercury Mirror: Its Manufacturing Technique and Deterioration Processes", Studies in Conservation, Vol. 38, No. 1 (Feb. , 1993)
  9. Lekner, John (1987). Theory of Reflection, of Electromagnetic and Particle Waves. Springer. ISBN 9789024734184.
  10. Mandelstam, L. I. (1926). "Light Scattering by Inhomogeneous Media". Zh. Russ. Fiz-Khim. Ova. 58: 381
  11. "Shoaling, Refraction, and Diffraction of Waves". University of Delaware Center for Applied Coastal Research. Retrieved 2009-07-23.
  12. Yun Sun ,Cap luck Chan, Sankar Muthu Krisnan , "ECG signal conditioning by morphological filtering", Computers in biology and medicine 32 (2002)
  13. Fokko Jan Dijksterhuis (2004). Lenses and Waves: Christiaan Huygens and the Mathematical Science of Optics in the Seventeenth Century. Springer. ISBN 1-4020-2697-8.
  14. John D Joannopoulos, Johnson SG, Winn JN & Meade RD (2008). Photonic Crystals: Molding the Flow of Light (2nd ed. ). Princeton NJ: Princeton University Press. ISBN 978-0-691-12456-8
  15. Andrew S. Glassner (1989). An Introduction to Ray Tracing. Morgan Kaufmann. ISBN 0-12-286160-4.
  16. Joseph Ackora-Prah, Anthony Y. Aidoo, Kwasi Baah Gyamf, "An Artificial ECG Signal Generating Function in MATLABTM", Applied Mathematical Sciences, Vol. 7, 2013, no. 54, 2675 - 2686
Index Terms

Computer Science
Information Sciences

Keywords

Optical Sensor Detecting ECG