How to compare NIRS spectra between each other?

  • Thread starter Thread starter groot44
  • Start date Start date
  • Tags Tags
    Compare Spectra
Click For Summary

Discussion Overview

The discussion focuses on best practices for comparing Near-Infrared Spectroscopy (NIRS) spectra from multiple subjects. Participants explore methods for analyzing correlations between signals and anatomical differences, considering aspects such as absolute power and intensity of the spectra.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant seeks advice on comparing NIRS spectra, questioning whether absolute power and absolute intensity are the same.
  • Another participant asks about the typical spectra data, the bandwidth of the NIRS spectrum, and the significance of different regions in the spectrum.
  • There is a suggestion to use Principal Component Analysis (PCA) for the comparison, although some participants express confusion over the term PCR, questioning if it refers to PCA.
  • Participants discuss the impact of hair on NIRS sensing and the measures taken to mitigate this issue, such as using light sources on the forehead.
  • Details about the bandwidth of the NIRS spectrum are provided, specifically noting the importance of wavelengths at 830nm and 905nm for oxyhemoglobin and deoxyhemoglobin absorption.
  • One participant clarifies that the measurements are resting scans and expresses a desire to quantify the results for further analysis.

Areas of Agreement / Disagreement

The discussion contains multiple competing views and remains unresolved regarding the best practices for comparing NIRS spectra and the appropriate analytical methods to use.

Contextual Notes

Participants have not reached consensus on the definitions of absolute power and intensity, nor on the best analytical approach for the data. There are also unresolved questions regarding the significance of the different regions of the NIRS spectrum.

groot44
Messages
6
Reaction score
2
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!
 
Biology news on Phys.org
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?

1619395143812.png

https://cortechsolutions.com/product/ni-br-sym54/
 
  • Like
Likes   Reactions: groot44
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.
 
  • Like
Likes   Reactions: berkeman
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:
 
  • Haha
Likes   Reactions: berkeman

Similar threads

  • · Replies 5 ·
Replies
5
Views
1K
Replies
8
Views
5K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
3
Views
2K
  • · Replies 8 ·
Replies
8
Views
1K
  • · Replies 24 ·
Replies
24
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K