Unsupervised Remote Data Analysis EEG Cleaning and Data Mining

Below is a screenshot of the latest version (v0.5 alpha) of our URDA-EEG application. Using this application, you can access our latest EEG signal cleaning and data mining algorithms to process your own data. This is ideal for those of us who use EEG for assessing brain function (neurofeedback, or biofeedback industry), or use EEG to investigating brain function for research purposes.

Figure 1: Screen capture of URDA-EEG cleaning and data mining software.

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Example EEG Data Cleaning Results

 

The figure below was created using our URDA-EEG data cleaning tool. To clean the data, we applied our Wavelet Subspace algorithm.  The raw unprocessed EEG data are indicated by the red traces in the figure below.  The artefact removed is indicated by the black traces in the figure.   Lastly, the cleaned data are indicated by the blue traces in the figure.

Figure 2: Plot of raw data (red) and data cleaned (blue) using the Wavelet Subspace algorithm.

To become an alpha tester and have access to our algorithms at no cost, complete our alpha-tester information form. The URDA-EEG software can be accessed from our software download page.

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In our software suite, we also provide access to our own ECG cleaning algorithms. Below is a screen shot of ECG data cleaned using our algorithm.

Figure 3. Screen Shot of Example Result Using Our URDA-ECG (Electrocardiogram) Cleaning Software