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Content Provider | IEEE Xplore Digital Library |
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Author | Srivastava, Anuj Chowdhury, Md. Koushik Sharma, Shiru Sharma, Neeraj |
Copyright Year | 2014 |
Description | Author affiliation: School of Biomedical Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, Uttar Pradesh-221005, India (Srivastava, Anuj; Chowdhury, Md. Koushik; Sharma, Shiru; Sharma, Neeraj) |
Abstract | This paper describes the effect of various glucose concentrations in normal and diabetic human blood serums mixed with intralipid phantoms. Amplitude modulated ultrasound and infrared techniques were utilized here. Modulated ultrasound causes signature specific molecular vibrations through the area of its propagation. The infrared light of specific wavelength is used here to detect the target glucose molecules. The infrared photo sensor detects the resultant signal and undergoes series of signal processing steps to yield the output value. The trend obtained from the result indicates that human diabetic blood serum occupies highest peak values in Fast Fourier Transform domain as compared to the normal human blood serum peak values. The proposed method provides a new dimension for noninvasive blood glucose measurement techniques. Noninvasive method for blood glucose detection is the need of hour. Tight control regimen with noninvasive glucometer will change the way of living of the diabetes affected population. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 142536 |
Page Count | 5 |
File Format | |
ISSN | 23479337 |
e-ISBN | 9781479963935 |
DOI | 10.1109/ICAETR.2014.7012942 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-08-01 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Integrated optics Infra red Ultrasonic imaging Biomedical optical imaging Fast fourier transform Phantoms Modulated ultrasound Diabetes Blood serum Blood Sugar |
Content Type | Text |
Resource Type | Article |
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