Literature DB >> 18002617

A new non-invasive method for measuring blood glucose using instantaneous differential near infrared spectrophotometry.

Y Yamakoshi1, M Ogawa, T Yamakoshi, M Satoh, M Nogawa, S Tanaka, T Tamura, P Rolfe, K Yamakoshi.   

Abstract

We describe further development of a novel method for non-invasive measurement of blood glucose concentration (BGL), named Pulse Glucometry, based on differential near infrared spectrophotometry. Sequential temporal differences of infrared transmittance spectra from the radiation intensity (I(lambda)) emerging from a fingertip containing an arterial pulse component (DeltaI(lambda)) are analysed. To perform the measurements we developed a new high-speed spectrophotometer, covering the wavelength range from 900 to 1700 nm, scanning at a maximum spectral rate of 1800 spectra/s, with a minimum exposure time of 20 micros. Spectra related only to the pulsatile blood component are derived, thus minimising influences of basal components such as resting blood volume, skin, muscle and bone. We have now improved the performance of the spectrophotometer and in the present paper we describe new in vivo measurements carried out in 23 healthy volunteers undergoing glucose tolerance tests. Blood samples were collected from the cephalic vein simultaneously with radiation intensity measurements in the fingertip every 10 min before and after oral administration of glucose solution for 120 min. BGL values were then predicted using a PLS calibration model and compared with blood values determined by colorimetric assay. The precision and accuracy of the non-invasive determinations are encouraging.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 18002617     DOI: 10.1109/IEMBS.2007.4352951

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  3 in total

1.  Developing a Wireless, High Precision and Processing Speed Pulse Monitoring Headset Using Photoplethysmography.

Authors:  Yunhui Jiang; Jian Tang; Xiaoliang Wang; Chao Shen
Journal:  IEEE J Transl Eng Health Med       Date:  2017-10-20       Impact factor: 3.316

2.  A novel adaptive-weighted-average framework for blood glucose prediction.

Authors:  Youqing Wang; Xiangwei Wu; Xue Mo
Journal:  Diabetes Technol Ther       Date:  2013-07-24       Impact factor: 6.118

Review 3.  Italian contributions to the development of continuous glucose monitoring sensors for diabetes management.

Authors:  Giovanni Sparacino; Mattia Zanon; Andrea Facchinetti; Chiara Zecchin; Alberto Maran; Claudio Cobelli
Journal:  Sensors (Basel)       Date:  2012-10-12       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.