[Homer-users] how to exclude bad segments in time from NIRS resting state

[Perdue, Katherine]

Hi Chiara,

It is a bit time consuming, but the most straightforward way would be to exclude the time segments using the mouse. There is a button that says “Exclude time” in the “Zoom, Pan, Etc” window. Click that button, and then you can use the mouse to highlight segments to be excluded (instead of using the mouse to zoom like usual). You can toggle back and forth between zooming and excluding to make it as accurate as you need it to be.

best,
Katherine

-------------
Katherine Perdue, PhD
Research Fellow in Pediatrics
Labs of Cognitive Neuroscience
Division of Developmental Medicine
Boston Children's Hospital
Office Phone: 857-218-5214

On Feb 2, 2016, at 12:33 PM, Chiara Bulgarelli <cbulga01 at mail.bbk.ac.uk<mailto:cbulga01 at mail.bbk.ac.uk>> wrote:

Hi everyone,
I am a PhD student at the Centre for Brain and Cognitive Development at the BIrkbeck College (London, UK).

I am acquiring some resting state NIRS data on infants awake and I’d like to do the preprocessing with HomER.
During the acquisition, I set the program to send just an event just at the beginning of the session.

My concern now is about the marking of the bad and good segments. In fact, when I work on task-dependent data, I am used to import the data in the Stim GUI option of HomER, and then exclude from there condition where the baby is moving to much or is crying (according to the video that is recording the baby during the acquisition).
But now that I have only event at the beginning, I would like to specify specific time window to be excluded, still based on the video of the baby.
Considering that the acquisition is done on infants awake, this step is quite important: they are moving quite a lot!

I struggled with the option of the program but nothing seems to work.

Any help would be really appreciated!!

Many thanks in advance

Chiara Bulgarelli

----------------
Chiara Bulgarelli
PhD Student, Centre for Brain and Cognitive Development
Birkbeck College, University of London

cbulga01 at mail.bbk.ac.uk<mailto:cbulga01 at mail.bbk.ac.uk> // bulgarelli.chiara3 at gmail.com<mailto:bulgarelli.chiara3 at gmail.com>






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