How to compare NIRS spectra between each other?

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SUMMARY

The discussion focuses on best practices for comparing Near-Infrared Spectroscopy (NIRS) spectra from multiple subjects measured under the same conditions. Key considerations include the use of absolute power versus absolute intensity for analysis, with an emphasis on the significance of wavelengths at 830nm and 905nm for oxyhemoglobin and deoxyhemoglobin absorption. The integration time for samples is consistent, and the analysis aims to explore correlations between signals and anatomical differences. Participants also discussed the impact of hair on NIRS sensing and the potential use of Principal Component Analysis (PCA) for data interpretation.

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  • Understanding of Near-Infrared Spectroscopy (NIRS) principles
  • Familiarity with spectral data analysis techniques
  • Knowledge of oxyhemoglobin and deoxyhemoglobin absorption characteristics
  • Basic understanding of Principal Component Analysis (PCA)
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  • Research methods for comparing NIRS spectra, focusing on absolute power and intensity
  • Learn about the significance of specific wavelengths in NIRS data analysis
  • Explore the application of Principal Component Analysis (PCA) in NIRS data interpretation
  • Investigate the effects of hair and other factors on NIRS signal quality
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Researchers and practitioners in biomedical engineering, neuroscientists, and anyone involved in NIRS data analysis and interpretation.

groot44
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What would be the best practices for comparing multiple NIRS spectra between each other? I’m working with NIRS data of multiple samples from different subjects, measured with the same measurement setup. The aim is in the end to analyse correlation between signals and anatomical differences between subjects.

Based on what I have found so far, I’m considering either absolute power or absolute intensity of the spectrum (not sure if they are the same or not). I’m fairly new with NIRS signal analysis and thus wanted to ask for opinions with the matter. Thanks in advance!
 
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groot44 said:
What would be the best practices for comparing multiple NIRS spectra between each other? I’m working with NIRS data of multiple samples from different subjects, measured with the same measurement setup. The aim is in the end to analyse correlation between signals and anatomical differences between subjects.

Based on what I have found so far, I’m considering either absolute power or absolute intensity of the spectrum (not sure if they are the same or not). I’m fairly new with NIRS signal analysis and thus wanted to ask for opinions with the matter. Thanks in advance!
Welcome to PF.

What does your typical spectra data look like as a function of time and subject task? I'm not familiar with the bandwidth of the NIRS spectrum -- how wide is it, and what is the significance of the different regions in the spectrum?

What tasks do you have the subjects performing, and are the recordings synchronized? Or are the scans just resting scans and you want to compare them?

I've worked with EEG and EKG pads and recordings a fair amount -- Is hair an issue with NIRS sensing, or do you shave the probe sites?

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https://cortechsolutions.com/product/ni-br-sym54/
 
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You could, for example do a PCR.
 
berkeman said:
Welcome to PF.

What does your typical spectra data look like as a function of time and subject task? I'm not familiar with the bandwidth of the NIRS spectrum -- how wide is it, and what is the significance of the different regions in the spectrum?

What tasks do you have the subjects performing, and are the recordings synchronized? Or are the scans just resting scans and you want to compare them?

I've worked with EEG and EKG pads and recordings a fair amount -- Is hair an issue with NIRS sensing, or do you shave the probe sites?

View attachment 282060
https://cortechsolutions.com/product/ni-br-sym54/

Thanks for the answer! I haven't worked with EEG yet but hopefully in the future. To answer your question about hair, I believe it could be issue but we used light sources on forehead to avoid the issue.

The bandwidth is given as electromagnetic spectrum from approximately 300nm to 1200nm (wavelength), measurement done by spectrometer utilising charge-coupled device (CCD). The most important wavelengths are 830nm and 905nm due to oxyhemoglobin and deoxyhemoglobin absorption qualities.

The integration time of the samples is same. These are only resting measurements and would like to further analyse them for correlation. So I have been considering how to quantify the results.
 
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DrDu said:
You could, for example do a PCR.
What is PCR? Or do you mean principle component analysis PCA?
 
groot44 said:
What is PCR? Or do you mean principle component analysis PCA?
I tell you if you tell me what NIRS means :cool:
 
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