Design and Manufacturing of Spectrophotometer for Diagnosis of Icterus and Diabetes

  • Reyhaneh NasrAzadani M.Sc. Student, Sepahan Institute of Higher Education Science and Technology, Faculty of Engineering and Engineering, Isfahan, Iran
  • Akram Mehvari M.Sc. Student, Sepahan Institute of Higher Education Science and Technology, Faculty of Engineering and Engineering, Isfahan, Iran
  • Mohammadbagher Tavakoli - Professor Department of Medical Physics, Isfahan University of Medical Sciences, Isfahan, Iran
Keywords: icterus, diabetes, sechtrophotometer

Abstract

The optical spectrum is a set of wavelengths which is created by a light source. Radiation of each element or composition can be absorptive or reflective, and unique. For measurement of these spectra, an apparatus, known as spectrometer, can be used. In reality, spectrophotometer is a machine which measures the intensity of the absorbed light as a function of wavelength. Owing to the extensiveness of the radiational energy amplitude, various spectrophotometers have been used in different applications. The main purpose of this research is to design a spectrometer for diagnosis and evaluation of icterus in children and measurement of blood sugar in people suffering from diabetes. Statistical population of research includes 80 newborns suffering from icterus and 160 diabetic people in Al-Zahra hospital which are selected randomly. In the presented method, all samples are evaluated with regard to the absorbed light. Results imply to the 78% accuracy for diabetes and 84% accuracy in newborns.

References

[1] P. Repalli, "Prediction on diabetes using data mining approach," Oklahoma State University, 2011.
[2] Evans, D. G., et al. "Complications of the naevoid basal cell carcinoma syndrome: results of a population based study." Journal of Medical Genetics 30.6 (1993): 460-464.
[3] Gniadecka, Monika, et al. "Diagnosis of basal cell carcinoma by Raman spectroscopy." Journal of Raman Spectroscopy 28.23 (1997): 125-129.
[4] Huang, Adam, et al. "Capillary detection for clinical images of basal cell carcinoma." Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on. IEEE, 2012
[5] Jafari, M. H., et al. "Set of descriptors for skin cancer diagnosis using non-dermoscopic color images." Image Processing (ICIP), 2016 IEEE International Conference on. IEEE, 2016
[6] John C. Hall. 2009. Lever’s Histopathology of the Skin. 10 th ed. Philadelphia: Wolter Kluwer, Lippincott Williams & Wilkins. 2009. P:823-835.
[7] John C.Hall, Gordon C.Sauer. Manual of Skin Diseases. 7 th ed. Philadelphia, New York: Lippincott- Raven.
[8] Mackiewicz-Wysocka, Małgorzata, et al. "Basal cell carcinoma–diagnosis." Contemp Oncol (Pozn) 17.4 (2013): 337-342.
[9] Quinn AG, Perknis W. Non melanoma skin cancer and other epidermal skin tumours In: Bitns T,Breathnach S, Cox N, et al. Rook’s Text book of Dermatology. 8 th edn. London: Wiley-Blackwell; 2010. P 52.1-48.
[10] Strasswimmer, John, et al. "Polarization-sensitive optical coherence tomography of invasive basal cell carcinoma." Journal of biomedical optics 9.2 (2004): 292-298
[11] Taeb, Aidin, Suren Gigoyan, and Safieddin Safavi-Naeini. "Millimetre-wave waveguide reflectometers for early detection of skin cancer." IET Microwaves, Antennas & Propagation 7.14 (2013): 1182-1186.
[12] Truong, Bao CQ, H. D. Tuan, and H. T. Nguyen. "Near-infrared parameters extraction: A potential method to detect skin cancer." Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE. IEEE, 2013.
Published
2019-12-01
How to Cite
NasrAzadani, R., Mehvari, A., & Tavakoli, M. (2019). Design and Manufacturing of Spectrophotometer for Diagnosis of Icterus and Diabetes. Majlesi Journal of Mechatronic Systems, 8(4), 19-24. Retrieved from https://ms.majlesi.info/index.php/ms/article/view/422
Section
Articles