Non-Invasive Method for Estimating Blood Glucose Level Utilizing Harmonic Distortion of Pulse Pressure

Keita Nishio (), Takashi Kaburagi (), Satoshi Kumagai (), Toshiyuki Matsumoto () and Yosuke Kurihara ()
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Keita Nishio: Aoyama Gakuin University
Takashi Kaburagi: International Christian University
Satoshi Kumagai: Aoyama Gakuin University
Toshiyuki Matsumoto: Aoyama Gakuin University
Yosuke Kurihara: Aoyama Gakuin University

No 9812032, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

Abstract: In this paper, a non-invasive method for estimating blood glucose level is proposed. We investigate blood viscosity and harmonic distortion using a model with the assumption that high blood viscosity caused by high blood glucose level generates turbulence in blood flow. This consequently leads to the distortion of fundamental frequency of pulsation. Therefore, the harmonic components appear owing to the pressure on the vascular wall. Using the proposed non-invasive method, we calculate the amplitude of the harmonic components. The blood glucose level is estimated with a single regression model whose explanatory variable is the calculated harmonic component. Through validation experiment with 33 measured data, the third harmonic component achieved the highest estimation accuracy with 60% of the data meeting the ISO criteria.

Keywords: non-invasive; blood glucose level; regression model; diabetes; harmonic distortion; blood pressure monitor; Fast Fourier transform (search for similar items in EconPapers)
JEL-codes: I19 (search for similar items in EconPapers)
Pages: 7 pages
Date: 2019-10
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Published in Proceedings of the Proceedings of the 49th International Academic Conference, Dubrovnik, Oct 2019, pages 140-146

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Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:9812032

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