Identification of Voltage Level Present in Blood during Mistransfusion of Blood

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-3
Year of Publication : 2019
Authors : Tanvi Patel, Gautam Joshi& Prof. Dimpal Khambhati
  10.14445/22315381/IJETT-V67I3P218

MLA 

MLA Style: Tanvi Patel, Gautam Joshi& Prof. Dimpal Khambhati "Identification of Voltage Level Present in Blood during Mistransfusion of Blood" International Journal of Engineering Trends and Technology 67.3 (2019): 96-99.

APA Style: Tanvi Patel, Gautam Joshi& Prof. Dimpal Khambhati (2019). Identification of Voltage Level Present in Blood during Mistransfusion of Blood. International Journal of Engineering Trends and Technology, 67(3), 96-99.

Abstract
As we had observed that determination of blood group is very important and it is a basic test among all the test which are performed. During any emergency or if we are admitted to hospital, the very first thing the doctor will do is, determination of blood group. So, at a time of emergency even a minute delay may lead to death. Our proposed idea is a non-invasive method for identifying blood group. Light act as a source for optical signals which is allowed to pass through the finger and detector detects the varying voltage. Depending on the output voltage, the blood type is detected. Fortitude of blood type is vital before administering a blood transfusion in an emergency site. Presently these tests are performed manually by technicians in the laboratory, when the test is handled with large number of samples, it is monotonous to do and it may lead to human errors.

Reference
[1] Laura. (2005), ‘Blood groups and red cell antigens’, National Center for Biotechnology Information
[2] Mujahid, Adnan, and Franz L. Dickert. (2015), Blood group typing: from classical strategies to the application of synthetic antibodies generated by molecular imprinting Sensors 16, no. 1, pp: 51.
[3] Selvakumari, T.M. (2011), Blood Group Detection Using Fiber optics, Armenian Journal of Physics 4, no. 3, pp: 165-168.
[4] Gaurav.S.Mehare,Chetan.G.Pinjarkar,Anup.V.Tembhe,Prof.Nitin.S.(2019),A noninvasive way to determine blood type based on image processing, International Research Journal Of Engineering and Technology, Vol:5.
[5] Ferraz, A., V. Carvalho, and F. Soares. (2010), Development of a human blood type detection automatic system, Procedia Engineering 5, pp: 496-499.
[6] Ashiba, Hiroki, Makoto Fujimaki, Koichi Awazu, Mengying Fu, Yoshimichi Ohki, Torahiko Tanaka, and Makoto Makishima. (2015), Hemagglutination detection for blood typing based on waveguide-mode sensors. Sensing and Bio-Sensing Research 3,pp: 59-64.
[7] A. Narkis Banu, V. Kalpana. (2018), An Automatic System To Detect Human Blood Group Of Many Individuals In a Parallel Manner Using Image, International Journal of pure and applied mathematics,Vol:118
[8] Kanade, Vijay A. (2015), Bio-Optics: Blood Type Determination based on Image Processing Techniques by utilizing an Optical Sensor Device, International Journal of Science and Research 5, no. 7 ,pp: 214-217.
[9] Nagar, Nishtha, Aesha Shah, Aditya Singh and Shreya Akotiya.(2015) Blood Group Detection and Mobile Monitoring System.
[10] Katti, Pooja Naragund, Vaibhavi Sara desai, Pyati Vidhyashree, Kaushik M, Anilkumar V Nandi, Vaishali B Mungurwadi .(2015)
[11] Blood MEMS based sensor for blood group investigation, Cosmol Conference,Vol:01.
[12] Sahastrabuddhe, Akshaya P., and Sayyad D. Ajij. (2016), Blood group Detection and RBC, WBC Counting: An Image Processing Approach, International Journal of Engineering And Computer Science 5, no. 10.
[13] Gayathri T, Rekha M, NaizathulAkmah, K. Nithya Kalyani.(2018), Non-Invasive blood group detection using Light Emitting diode, International Journal of Pure and applied Mathematics, Vol:119.
[14] Daniels, G. (2002) Human blood groups, pp : 7-98.
[15] Mehedi Hasan Talukdar, Md. Mahfuz Reza, Mehbuba Begum, Md. Rabiul Islam, Md. Mahmudul Hasan.(2015),Improvement of accuracy of human blood groups determination using image processing techniques, International Journal of Advance research in Computer and Communication Engineering, Vol:4

Keywords
Blood group, Antigen, Antibodies, LED, OPT 101 Detector