Noninvasive In-Situ Measurement of Blood Lactate Using Microwave Sensors
Goal: This paper reports a novel electromagnetic sensor technique for real-time noninvasive 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 lac...
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Published in | IEEE transactions on biomedical engineering Vol. 65; no. 3; pp. 698 - 705 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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United States
IEEE
01.03.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | Goal: This paper reports a novel electromagnetic sensor technique for real-time noninvasive 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; temperature and heart rate data was also collected. Results: Pointwise 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 noninvasive 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 noninvasively in hospital environments will reduce the risk of infection, increase the frequency of measurement and ensure timely intervention only when necessary. In sports, such tools will enhance training of athletes, and enable more effecting training regimes to be prescribed. |
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AbstractList | Goal: This paper reports a novel electromagnetic sensor technique for real-time noninvasive 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; temperature and heart rate data was also collected. Results: Pointwise 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 noninvasive 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 noninvasively in hospital environments will reduce the risk of infection, increase the frequency of measurement and ensure timely intervention only when necessary. In sports, such tools will enhance training of athletes, and enable more effecting training regimes to be prescribed. This paper reports a novel electromagnetic sensor technique for real-time noninvasive monitoring of blood lactate in human subjects.GOALThis paper reports a novel electromagnetic sensor technique for real-time noninvasive monitoring of blood lactate in human subjects.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; temperature and heart rate data was also collected.METHODSThe 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; temperature and heart rate data was also collected.Pointwise mutual information and neural networks are used to produce a predictive model. The model shows a good correlation between the standard invasive and novel noninvasive electromagnetic wave based blood lactate measurements, with an error of 13.4% in the range of 0-12 mmol/L.RESULTSPointwise mutual information and neural networks are used to produce a predictive model. The model shows a good correlation between the standard invasive and novel noninvasive electromagnetic wave based blood lactate measurements, with an error of 13.4% in the range of 0-12 mmol/L.The work demonstrates that electromagnetic wave sensors are capable of determining blood lactate level without the need for invasive blood sampling.CONCLUSIONThe work demonstrates that electromagnetic wave sensors are capable of determining blood lactate level without the need for invasive blood sampling.Measurement of blood metabolites, such as blood lactate, in real-time and noninvasively in hospital environments will reduce the risk of infection, increase the frequency of measurement and ensure timely intervention only when necessary. In sports, such tools will enhance training of athletes, and enable more effecting training regimes to be prescribed.SIGNIFICANCEMeasurement of blood metabolites, such as blood lactate, in real-time and noninvasively in hospital environments will reduce the risk of infection, increase the frequency of measurement and ensure timely intervention only when necessary. In sports, such tools will enhance training of athletes, and enable more effecting training regimes to be prescribed. This paper reports a novel electromagnetic sensor technique for real-time noninvasive monitoring of blood lactate in human subjects. 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; temperature and heart rate data was also collected. Pointwise mutual information and neural networks are used to produce a predictive model. The model shows a good correlation between the standard invasive and novel noninvasive electromagnetic wave based blood lactate measurements, with an error of 13.4% in the range of 0-12 mmol/L. The work demonstrates that electromagnetic wave sensors are capable of determining blood lactate level without the need for invasive blood sampling. Measurement of blood metabolites, such as blood lactate, in real-time and noninvasively in hospital environments will reduce the risk of infection, increase the frequency of measurement and ensure timely intervention only when necessary. In sports, such tools will enhance training of athletes, and enable more effecting training regimes to be prescribed. |
Author | Hopkins, J. Louis, J. Greene, J. Korostynska, O. Cordova-Lopez, L. E. Abdullah, B. Connell, R. Mason, A. |
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Snippet | Goal: This paper reports a novel electromagnetic sensor technique for real-time noninvasive monitoring of blood lactate in human subjects. Methods: The... This paper reports a novel electromagnetic sensor technique for real-time noninvasive monitoring of blood lactate in human subjects. The technique was... This paper reports a novel electromagnetic sensor technique for real-time noninvasive monitoring of blood lactate in human subjects.GOALThis paper reports a... |
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SubjectTerms | Adult Arm Athletes Biomedical monitoring Blood Blood Chemical Analysis - instrumentation Blood Chemical Analysis - methods Electromagnetic radiation Electromagnetic scattering Electromagnetic wave Equipment Design Female Health risks Heart rate Humans Lactic acid Lactic Acid - blood Male Metabolites microwave Microwave measurement Microwave sensors Microwaves Monitoring Neural networks non-invasive point of care Point-of-Care Systems Prediction models Real time sensor Sensors Training wearable Wearable Electronic Devices |
Title | Noninvasive In-Situ Measurement of Blood Lactate Using Microwave Sensors |
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