<p>I am an undergraduate student who is trying to classify motor imagery from EEG data!</p>

<p>I have no experience working with EEG or any neuroscience background, I only have a very basic knowledge of how EEG, ERD/ERS and frequency domain work from the papers I've tried to read but don't understand and the basic idea of what they are doing. I also have a reasonably basic knowledge of supervised Machine Learning.</p>

<p>I plan to use ERD/ERS to classify Left foot, Right hand and rest to classify motor imagery in real time!</p>

<p><strong>What is the easiest way to do this?</strong> </p>

<p>So far I have bandpassed the data between 7-30 Hz for Mu and Beta wavelengths as they are the ones related to the motor imagery as well as removing the baseline and just plotted the Power Spectral Density. I passed this data through a basic SVM; linear and gaussian, optimised parameters with poor results (60% accuracy on average)</p>

<p><a href="https://i.sstatic.net/9z21Z.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/9z21Z.png" alt="Power Spectral Density"></a></p>

<p>I have no idea how to do feature extraction, where to start, how to properly classify EEG data. and how to do this in real time.</p>

<p><strong>If someone could guide me and provide the steps on how to proceed I would extremely grateful!</strong> </p>

<p>I want to work in the field of Brain Computer Interfaces as I find it fascinating, this is my first step :)</p>

<p>Here is the link to the dataset and its details <a href="http://www.bbci.de/competition/iii/desc_IVc.html" rel="nofollow noreferrer">BCI competition: IVc</a></p>

CC BY-SA 4.0
2020-04-17T15:05:39.473Z
What papers have you read that use techniques similar to what you want to do?
Bryan Krause
CC BY-SA 4.0
2020-04-20T10:02:24.487Z
I have read many referring to Common Spatial Patterns which is too beyond me, I am trying to use simpler methods like Linear Discriminant Analysis, Invariance between data to target ERS and ERD. But in general I'm not sure where to go @BryanKrause
Po Chen Liu
<eeg>
Classifying motor imagery using EEG data
Po Chen Liu
# Classifying motor imagery using EEG data

(Asked by: username_0 on 2020-04-17)

I am an undergraduate student who is trying to classify motor imagery from EEG data!

I have no experience working with EEG or any neuroscience background, I only have a very basic knowledge of how EEG, ERD/ERS and frequency domain work from the papers I've tried to read but don't understand and the basic idea of what they are doing. I also have a reasonably basic knowledge of supervised Machine Learning.

I plan to use ERD/ERS to classify Left foot, Right hand and rest to classify motor imagery in real time!

**What is the easiest way to do this?**

So far I have bandpassed the data between 7-30 Hz for Mu and Beta wavelengths as they are the ones related to the motor imagery as well as removing the baseline and just plotted the Power Spectral Density. I passed this data through a basic SVM; linear and gaussian, optimised parameters with poor results (60% accuracy on average)

[![Power Spectral Density](https://i.sstatic.net/9z21Z.png)](https://i.sstatic.net/9z21Z.png)

I have no idea how to do feature extraction, where to start, how to properly classify EEG data. and how to do this in real time.

**If someone could guide me and provide the steps on how to proceed I would extremely grateful!**

I want to work in the field of Brain Computer Interfaces as I find it fascinating, this is my first step :)

Here is the link to the dataset and its details [BCI competition: IVc](http://www.bbci.de/competition/iii/desc_IVc.html)

**Tags:** eeg

> **Comments:**
> **username_1**: What papers have you read that use techniques similar to what you want to do?  
> **username_0**: I have read many referring to Common Spatial Patterns which is too beyond me, I am trying to use simpler methods like Linear Discriminant Analysis, Invariance between data to target ERS and ERD. But in general I'm not sure where to go @BryanKrause  

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## 0 answers

