An Indigenous Device to Monitor Cholesterol Level Non-Invasively

Authors

  • Prof.G. Lavanya Assistant Professor, Department of Biomedical Engineering, Sri Ramakrishna Engineering College, Coimbatore
  • S. Reshma Student, Department of Biomedical Engineering, Sri Ramakrishna Engineering College, Coimbatore
  • S. Sharmilaa
  • B. Vennilah

DOI:

https://doi.org/10.37628/ijbme.v3i1.415

Keywords:

Cholesterol, Arduino, Infrared, Non-Invasive, intensity, transmitted, reflected

Abstract

Cholesterol is a major component of all cell membranes and is used to make essential molecules such as hormones, fat-soluble vitamins, and bile acids to help you digest your food. Approximately, the human body skin has 11% of cholesterol content, and cholesterol synthesis in the mammals skin accounts to 30% of the total body cholesterol synthesis. The main focus of the study is on non-invasive method of measuring cholesterol using infrared sensor connected to an Arduino board. Methods for non-invasive blood analysis were disclosed in which blood is illuminated at a number of discrete wavelengths selected from the infrared (IR) spectrum, based on the acquisition of information from the analysis of skin components by using a simple test. Reflected and transmitted light intensity are measured. Keywords: Arduino, cholesterol, infrared, intensity, non-invasive, reflected, transmitted

Author Biographies

  • S. Sharmilaa
    Student, Department of Biomedical Engineering, Sri Ramakrishna Engineering College, Coimbatore
  • B. Vennilah
    Student, Department of Biomedical Engineering, Sri Ramakrishna Engineering College, Coimbatore

References

Silambarasan. T, Sethupriyan P. Identification and cholesterol estimation of skin using hand pattern image. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 2015; 4 (8); p74-79.

Vikas Bhangdiya. Cholesterol presence detection using iris recognition. International Journal of Technology and Science. 2014; 1 (2); p1-4.

Amod P. Rale, Gharpure DC, Ravindran VR. Comparison of different ANN techniques for automatic defect detection in X-Ray images. International Conference on Emerging Trends in Electronic and Photonic Devices & Systems (ELECTRO). Institute of Electrical and Electronics Engineers 2009; 10.1109/ELECTRO.2009.5441138.

Yusoff IMM, Yahya R, Omar WRW, Ku LC. Non-invasive cholesterol meter using Near Infrared sensor. Institute of Electrical and Electronics Engineers. 2016; DOI: 10.1109/ICMETC.2015.7449581

MW Freeman, C. Junge. Understanding cholesterol: the good the bad and the necessary. The Harvard Medical School Guide to Lowering Your Cholesterol. New York, US: McGraw-Hill; 2005; p14-18.

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Published

2018-11-20

Issue

Vol. 3 No. 1 (2018)

Section

Articles