Non Invasive Measurement of Hemoglobin using Optical Sensor
D. Sineka1, S. Mythili2
1D. Sineka, PG Scholar, Department of Applied Electronics, PSNA College of Engineering and Technology, Dindigul (Tamil Nadu), India.
2Dr. S. Mythili, Professor, Department of ECE, PSNA College of Engineering and Technology, Dindigul (Tamil Nadu), India.
Manuscript received on 21 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 4068-4070 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B15940982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1594.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Hemoglobin (hb) concentration is a basic parameter in the human blood, the absense of which causes anemia. The proposed work stays away from the superfluous wastage of blood while estimating hb concentration which could have serious impact on a anemic patient. There are fundamentally two classifications to be specific, invasive and non-invasive methods.In the invasive method blood sample is collected by hurtful needle stick. After that the collected blood sample is sent to a laboratory for examination. Then the results are announced back to the docter later which possibly leads to analysis and treatement delay. A non-invasive technique permits torment free online patient checking framework with least danger of infection. An optical non-invasive system is introduced for Hb focus. In this anew advanced system, retention of light by oxygenated and deoxygenated hemoglobin is estimated at two wavelengths 660nm and 940nm. The specific wavelength of light is acquired from red and IR LED. The absorption coefficient of blood differs at various wavelength this reality is utilized to compute concentration of the hemoglobin.
Keywords: Hemoglobin Concentration, LCD, Noninvasive, Pic Microcontroller, Wavelength of Light.
Scope of the Article: Underwater Sensor Networks