The largest database of trusted experimental protocols

Maxfilter software v2

Manufactured by Elekta

MaxFilter software v2.2 is a tool designed to process and analyze data from magnetic resonance imaging (MRI) and magnetoencephalography (MEG) systems. The software's core function is to apply advanced signal processing techniques to enhance the quality and accuracy of the acquired data.

Automatically generated - may contain errors

Lab products found in correlation

2 protocols using maxfilter software v2

1

MEG Signal Cleaning and Artifact Removal

Check if the same lab product or an alternative is used in the 5 most similar protocols
A temporal variant of signal space separation using MaxFilter software v2.2 (Elekta-Neuromag, Helsinki, Finland) was applied to remove external magnetic interferences and discard noisy sensors (Taulu and Simola, 2006 (link)). The data were downsampled to 1 kHz, segmented into 1-sec epochs, and bandpass filtered (Butterworth with an order of 4) in a frequency range of 1 to 40 Hz. Epochs containing artifacts (SQUID jumps, eye blinks, head movement, or muscles) were removed by thresholding based on a variance exceeding 3×10−24 T, kurtosis larger than 15, and z-score larger than 4. Cardiac artifacts were removed using independent component analysis (ICA) based on the infomax algorithm (Bell and Sejnowski, 1995 (link)). On average (± SD), 8 ± 4.5 epochs (i.e., seconds) per run were removed across participants.
+ Open protocol
+ Expand
2

MEG Signal Cleaning and Artifact Removal

Check if the same lab product or an alternative is used in the 5 most similar protocols
A temporal variant of signal space separation using MaxFilter software v2.2 (Elekta-Neuromag, Helsinki, Finland) was applied to remove external magnetic interferences and discard noisy sensors (Taulu and Simola, 2006 (link)). The data were downsampled to 1 kHz, segmented into 1-sec epochs, and bandpass filtered (Butterworth with an order of 4) in a frequency range of 1 to 40 Hz. Epochs containing artifacts (SQUID jumps, eye blinks, head movement, or muscles) were removed by thresholding based on a variance exceeding 3×10−24 T, kurtosis larger than 15, and z-score larger than 4. Cardiac artifacts were removed using independent component analysis (ICA) based on the infomax algorithm (Bell and Sejnowski, 1995 (link)). On average (± SD), 8 ± 4.5 epochs (i.e., seconds) per run were removed across participants.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!