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Non-Invasive In-situ Measurement of Blood Lactate using Microwave Sensors.

Mason, A and Korostynska, O and Louis, J and Cordova-Lopez, LE and Abdullah, B and Greene, J and Connell, R and Hopkins, J (2017) Non-Invasive In-situ Measurement of Blood Lactate using Microwave Sensors. IEEE Transactions on Biomedical Engineering. ISSN 0018-9294

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Abstract

GOAL: This paper reports the use of a novel electromagnetic sensor technique for real-time non-invasive monitoring of blood lactate in human subjects. METHODS: The technique was demonstrated on 34 participants who undertook a cycling regime, with rest period before and after, to produce a rising and falling lactate response curve. Sensors attached to the arm and legs of participants gathered spectral data, blood samples were measured using a Lactate Pro V2, as well as temperature and heart rate data were collected. RESULTS: Pairwise mutual information and neural networks are used to produce a predictive model. The model shows a good correlation (R = 0.78) between the standard invasive and novel non-invasive electromagnetic wave based blood lactate measurements, with an error of 13.4% in the range of 0 - 12 mmol/L. CONCLUSION: The work demonstrates that electromagnetic wave sensors are capable of determining blood lactate level without the need for invasive blood sampling. SIGNIFICANCE: Measurement of blood metabolites, such as blood lactate, in real-time and non-invasively in hospital environments will reduce the risk of infection, increase the frequency of measurement and ensure timely intervention only when necessary. In sports situations, such tools will enhance training of athletes, and enable more effecting training regimes to be prescribed.

Item Type: Article
Additional Information: (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords: 0903 Biomedical Engineering, 0906 Electrical And Electronic Engineering, 0801 Artificial Intelligence And Image Processing
Subjects: R Medicine > RC Internal medicine > RC1200 Sports Medicine
T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Built Environment
Civil Engineering
Sport & Exercise Sciences
Publisher: IEEE
Related URLs:
Date Deposited: 29 Jun 2017 09:07
Last Modified: 06 Sep 2017 16:51
DOI or Identification number: 10.1109/TBME.2017.2715071
URI: http://researchonline.ljmu.ac.uk/id/eprint/6767

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