russell88
Newbie level 2
hello, i'm a researcher doing simultaneous EEG-FMRI recordings. i'm trying to denoise the EEG signal acquired inside the scanner...my question is this: if i have access to a clean signal (EEG data acquired outside the scanner) and a noisy signal (EEG data acquired inside the scanner) is there a way i can use the information from the clean signal to remove the scanner-related noise from the noisy signal? the noise is roughly on the same order of magnitude as the signal.
the standard approach is to use average artifact subtraction, followed by an ICA decomposition, to first subtract out the majority of the noise, and then remove the rest through subtracting the noisy components from the data using ICA. this doesn't really work so well due to 1) the physiological nature of the noise, average artifact subtraction cannot account for this variability and 2) the artifact is non-stationary so ICA can't handle it cleanly either.
basically i'm wondering if you have two signals, signal a and signal b, where a was recorded in a noise-free environment, and b was recorded in a noisy environment, is it possible to use the information from signal a to remove the noise from signal b?
thanks,
Russell
the standard approach is to use average artifact subtraction, followed by an ICA decomposition, to first subtract out the majority of the noise, and then remove the rest through subtracting the noisy components from the data using ICA. this doesn't really work so well due to 1) the physiological nature of the noise, average artifact subtraction cannot account for this variability and 2) the artifact is non-stationary so ICA can't handle it cleanly either.
basically i'm wondering if you have two signals, signal a and signal b, where a was recorded in a noise-free environment, and b was recorded in a noisy environment, is it possible to use the information from signal a to remove the noise from signal b?
thanks,
Russell