In-vivo, noninvasive measurement of muscle pH during exercise using near infrared spectroscopy

Olusola Soyemi, Michael Shear, Michelle Landry, Dulce Anunciacion, Babs Soller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Muscle pH is an important indicator of inadequate blood flow and available oxygen. Muscle pH can be used to triage and help treat trauma victims and indicate poor peripheral blood flow in diabetic patients. Muscle pH can also be used to indicate exercise intensity and fatigue. We have developed methods to non-invasively measure muscle pH using Near-Infrared Spectroscopy (NIRS) and Partial Least Squares (PLS) analysis. A multi-subject PLS model correlating near infrared tissue spectra, acquired from healthy subjects during repetitive hand-grip exercise, to invasive tissue pH measurements, has been developed and validated. Subject related variations in the spectral signal; impede the development of viable multi-subject model. Within-subject variations in tissue NIR spectra often result from uncontrolled motion or blood volume changes during exercise, while subject-to-subject variations arise from differences in skin pigmentation and the fat layer thickness. We have developed signal processing techniques to account for these mitigating factors. By incorporating this signal processing techniques with PLS calibration, we can generate a pH model that has a relative standard error of prediction of 1.7%.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsB.M. Cullum, J.C. Carter
Volume6007
DOIs
StatePublished - 2005
Externally publishedYes
EventSmart Medical and Biomedical Sensor Technology III - Boston, MA, United States
Duration: Oct 24 2005Oct 26 2005

Other

OtherSmart Medical and Biomedical Sensor Technology III
CountryUnited States
CityBoston, MA
Period10/24/0510/26/05

Fingerprint

Near infrared spectroscopy
physical exercise
muscles
Muscle
infrared spectroscopy
Blood
Tissue
Signal processing
blood flow
signal processing
Oils and fats
blood volume
Skin
fats
Fatigue of materials
Calibration
Infrared radiation
Oxygen
oxygen
predictions

Keywords

  • Clinical sensor
  • Muscle pH
  • NIR spectroscopy
  • PLS Calibration

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Soyemi, O., Shear, M., Landry, M., Anunciacion, D., & Soller, B. (2005). In-vivo, noninvasive measurement of muscle pH during exercise using near infrared spectroscopy. In B. M. Cullum, & J. C. Carter (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 6007). [60070N] https://doi.org/10.1117/12.630646

In-vivo, noninvasive measurement of muscle pH during exercise using near infrared spectroscopy. / Soyemi, Olusola; Shear, Michael; Landry, Michelle; Anunciacion, Dulce; Soller, Babs.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / B.M. Cullum; J.C. Carter. Vol. 6007 2005. 60070N.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Soyemi, O, Shear, M, Landry, M, Anunciacion, D & Soller, B 2005, In-vivo, noninvasive measurement of muscle pH during exercise using near infrared spectroscopy. in BM Cullum & JC Carter (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 6007, 60070N, Smart Medical and Biomedical Sensor Technology III, Boston, MA, United States, 10/24/05. https://doi.org/10.1117/12.630646
Soyemi O, Shear M, Landry M, Anunciacion D, Soller B. In-vivo, noninvasive measurement of muscle pH during exercise using near infrared spectroscopy. In Cullum BM, Carter JC, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6007. 2005. 60070N https://doi.org/10.1117/12.630646
Soyemi, Olusola ; Shear, Michael ; Landry, Michelle ; Anunciacion, Dulce ; Soller, Babs. / In-vivo, noninvasive measurement of muscle pH during exercise using near infrared spectroscopy. Proceedings of SPIE - The International Society for Optical Engineering. editor / B.M. Cullum ; J.C. Carter. Vol. 6007 2005.
@inproceedings{4a38d153a75149b88c74b3795edbe29d,
title = "In-vivo, noninvasive measurement of muscle pH during exercise using near infrared spectroscopy",
abstract = "Muscle pH is an important indicator of inadequate blood flow and available oxygen. Muscle pH can be used to triage and help treat trauma victims and indicate poor peripheral blood flow in diabetic patients. Muscle pH can also be used to indicate exercise intensity and fatigue. We have developed methods to non-invasively measure muscle pH using Near-Infrared Spectroscopy (NIRS) and Partial Least Squares (PLS) analysis. A multi-subject PLS model correlating near infrared tissue spectra, acquired from healthy subjects during repetitive hand-grip exercise, to invasive tissue pH measurements, has been developed and validated. Subject related variations in the spectral signal; impede the development of viable multi-subject model. Within-subject variations in tissue NIR spectra often result from uncontrolled motion or blood volume changes during exercise, while subject-to-subject variations arise from differences in skin pigmentation and the fat layer thickness. We have developed signal processing techniques to account for these mitigating factors. By incorporating this signal processing techniques with PLS calibration, we can generate a pH model that has a relative standard error of prediction of 1.7{\%}.",
keywords = "Clinical sensor, Muscle pH, NIR spectroscopy, PLS Calibration",
author = "Olusola Soyemi and Michael Shear and Michelle Landry and Dulce Anunciacion and Babs Soller",
year = "2005",
doi = "10.1117/12.630646",
language = "English (US)",
volume = "6007",
editor = "B.M. Cullum and J.C. Carter",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

TY - GEN

T1 - In-vivo, noninvasive measurement of muscle pH during exercise using near infrared spectroscopy

AU - Soyemi, Olusola

AU - Shear, Michael

AU - Landry, Michelle

AU - Anunciacion, Dulce

AU - Soller, Babs

PY - 2005

Y1 - 2005

N2 - Muscle pH is an important indicator of inadequate blood flow and available oxygen. Muscle pH can be used to triage and help treat trauma victims and indicate poor peripheral blood flow in diabetic patients. Muscle pH can also be used to indicate exercise intensity and fatigue. We have developed methods to non-invasively measure muscle pH using Near-Infrared Spectroscopy (NIRS) and Partial Least Squares (PLS) analysis. A multi-subject PLS model correlating near infrared tissue spectra, acquired from healthy subjects during repetitive hand-grip exercise, to invasive tissue pH measurements, has been developed and validated. Subject related variations in the spectral signal; impede the development of viable multi-subject model. Within-subject variations in tissue NIR spectra often result from uncontrolled motion or blood volume changes during exercise, while subject-to-subject variations arise from differences in skin pigmentation and the fat layer thickness. We have developed signal processing techniques to account for these mitigating factors. By incorporating this signal processing techniques with PLS calibration, we can generate a pH model that has a relative standard error of prediction of 1.7%.

AB - Muscle pH is an important indicator of inadequate blood flow and available oxygen. Muscle pH can be used to triage and help treat trauma victims and indicate poor peripheral blood flow in diabetic patients. Muscle pH can also be used to indicate exercise intensity and fatigue. We have developed methods to non-invasively measure muscle pH using Near-Infrared Spectroscopy (NIRS) and Partial Least Squares (PLS) analysis. A multi-subject PLS model correlating near infrared tissue spectra, acquired from healthy subjects during repetitive hand-grip exercise, to invasive tissue pH measurements, has been developed and validated. Subject related variations in the spectral signal; impede the development of viable multi-subject model. Within-subject variations in tissue NIR spectra often result from uncontrolled motion or blood volume changes during exercise, while subject-to-subject variations arise from differences in skin pigmentation and the fat layer thickness. We have developed signal processing techniques to account for these mitigating factors. By incorporating this signal processing techniques with PLS calibration, we can generate a pH model that has a relative standard error of prediction of 1.7%.

KW - Clinical sensor

KW - Muscle pH

KW - NIR spectroscopy

KW - PLS Calibration

UR - http://www.scopus.com/inward/record.url?scp=33644676278&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33644676278&partnerID=8YFLogxK

U2 - 10.1117/12.630646

DO - 10.1117/12.630646

M3 - Conference contribution

AN - SCOPUS:33644676278

VL - 6007

BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Cullum, B.M.

A2 - Carter, J.C.

ER -