nirs
This is the 6th post of the series: Handy programs to visualize NIRS data When we do an experiment, we often repeat an event (or block) for a few times. For example, in a typical finger tapping task, we ask the participants to do a finger tapping for
In my previous blog (https://www.alivelearn.net/?p=1426) and in our paper titled “NIRS-based hyperscanning reveals increased interpersonal coherence in superior frontal cortex during cooperation” (full text pdf available ), we have shown
Note: I am not affiliated with Artinis and they don’t pay me for this post. If you also sell portable NIRS device and would like to demo to me, I am happy to see it. Marco, the salesman of Artinis, gave me a demo of their wireless/portable NIRS
Can you find any pattern in the two signals, green and blue? The blue signal is the brain wave (measured by NIRS) of a person when he is pressing some buttons (the timing of button pressing is shown in the vertical lines); the green signal is also br
This is a manuscript Chao and myself prepared for a “commentary”. We think NIRS based hyperscanning has a great potential on the shift from one-person neuroscience to 2-people neuroscience. —- Toward an Ecologically Valid Second-per
Some noise is easy to detect – simply plotting the time courses of NIRS signal, you will find the noise so out of range and you will discard the data. However, I find in some instances the noise level seems to be in the normal range but the dat
This post is under updating … The information is not complete Table can be found here: https://spreadsheets.google.com/spreadsheet/ccc?key=0AmI1wIXzRozHdFQzWHNQajI5eTlOeWRFd0tCT0hwYmc&hl=en_US Artinis OctaMon The m
Let’s say you collected some brain data (time series) using NIRS while the participants were performing a task (say finger tapping), and you use the wt function in the “Cross Wavelet and Wavelet Coherence Toolbox” (link dead. Please
Let’s say you have two correlated variables, x and y. You may have more then one data points with x=10 and y=5. But if you do a scatter plot all these data points of the same value will become a single dot. You may want to use circles with size
