Sample Selector

Sample Selector is a tool for creating and editing samples, or groups of data you compare across—they're not "samples" in the statistical sense, but more like filters.

By default, a single sample exists: "All Data". With the Sample Selector, you can create new samples to organize your data.

You can use samples to:

A sample is composed of one or more filters, specific conditions that narrow down your sample.

Creating a sample

The general process for creating a sample is to:

The effect of multiple filters

DataShop interprets each filter after the first as an additional restriction on the data that is included in the sample. This is also known as a logical "AND". You can see the results of multiple filters in the sample preview as soon as all filters are "saved".

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Wavelet based artifact removal from EEG data
Description:
This MATLAB code can clean ocular artifacts (OA) from raw EEG data. The algorithm uses Wavelet Technique to decompose the raw signals, identify artifactual components, and reconstructs artifact-free EEG data.
Language:
Matlab
Home page / External resource:
Contributor:
Bashir Morshed
Added:
2016-05-27
Updated:
2016-05-31
Downloads:
2

Files

Name Size Downloads Updated
EEG_SingleCh_OARemoval_WT.m 3 KB 0 downloads 2016-05-27
Readme.txt 1 KB 1 downloads 2016-05-31
Version 9.4.4 August 2, 2017