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 inIEEE transactions on biomedical engineering Vol. 65; no. 3; pp. 698 - 705
Main Authors Mason, A., Korostynska, O., Louis, J., Cordova-Lopez, L. E., Abdullah, B., Greene, J., Connell, R., Hopkins, J.
Format Journal Article
LanguageEnglish
Published 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.
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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