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An EEG Signal Processing Toolbox for Muse Head Set ( 4 Sensors)

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Py.GEE

An EEG Signal Processing Toolbox for Muse Head Set ( 4 Sensors)

Supported Operations on the EEG data (.csv) includes

  1. Data Selection
  2. Feature Extraction ( Time Domain , Frequency Domain , Hjorth Parameters)
  3. Feature Selection ( K-Best)
  4. Classification (Naive Bayes , SVM , KNN)
  5. Independent Component Analysis

It is a GUI that Performs these mentioned operations on an EEG data set on a click of a button and stores the results in a specified folder in form of .xlsx sheets.

This is my Final Year Project under supervision of Dr Sanay Muhammad Umar Saeed.

Batch 2k18- Computer Engineering - UET Taxila ,Pakistan.

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An EEG Signal Processing Toolbox for Muse Head Set ( 4 Sensors)

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