[Homer-users] PCA Filter in HOMER2

[Kathleen Shaw]

Dear Jessie,

Attached is

Huppert, T. J., Diamond, S. G., Franceschini, M. A., & Boas, D. A. (2009).
HomER: a review of time-series analysis methods for near-infrared
spectroscopy of the brain. *Applied Optics*, *48*(10), D280–D298.

That has a brief section on how the PCA Filtering process works. Hope that
helps!

Thanks,
Katie

On Wed, Dec 16, 2015 at 12:07 PM, Chen Zhao <chenzhao510 at gmail.com> wrote:

> Hi all,
>
>
>
> I’m currently using Homer2 to analyse the adult NIRS data. I’ve got a
> question regarding to ‘PCA_Filter’ in pre-processing.
>
>
>
> I’ve checked Homer-users mailing history, understand that PCA is used for
> reducing artefacts especially motion artefacts from the data. However it
> hasn’t mentioned how does PCA_Filter works, does it just reduce the
> dimension and remove the highest eigen value principle component(s) to the
> data (depends on the set value), or does it also do the whitening on the
> data?
>
>
>
> Your answer is very much appreciated.
>
>
>
> Best regards,
>
>
>
> Jessie
>
>
>
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