RyotaroNumata/Brain-Signal-Analyzer

Brain-Signal-Analyzer (BSA) is as simple notes of analysis for brain computer interface. Especially, this note focus on an Decoding analysis for kinematic movement from ECoG recorded from human.

Brain-kinematics-decoder

A simple brain decoder for kinematic infomation decoding analysis.
japanese version README is here

Demo

Decoding finger flextion movement from ECoG signals.
The BCI competion Ⅳ dataset is used for this Demo.

Major features

• GUI support
  Brain-kinematics-decoder has simple GUI for analysis.
  So, you can easy to start Decoding analysis.

Installation

Requirements

• Linux and Windows (MacOS X is not officially supported)
• Python 3.7

Install Brain-Kinematics-Decoder

a. Create a conda virtual environment and activate it.

conda create -n BrainDecoder python=3.7 anaconda
conda activate BrainDecoder

b. Install MNE-Python following the official instructions, e.g.,

conda install -c conda-forge mne

c. Clone the Brain-kinematics-decoder repository.

git clone https://github.com/RyotaroNumata/Brain-kinematics-decoder.git
cd Brain-kinematics-decoder

d. Register BCI competition Ⅳ and Download Data sets 4.

prepare datasets

After download BCI competition Ⅳ dataset no.4, you need to create directories for storing data as follows.

Brain-kinematics-decoder
├── FileIO
├── Model
├── SignalProcessing
├── Utils
└── data
     └── BCI4
          └──subject_ECoG_data

Getting Start

If you want to run analysis with GUI support, should run this script in your terminal or command prompt.

python GUImain.py

also, you can use Brain-kinematics-decoder on your IDE. If so, run this code as follows.

python Decodig_main.py

Licence

MIT

Author

RyotaroNumata
Please feel free to contact me if you have any questions to the repo.