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Welcome to the Muse-Analysis-Tools wiki!
This script will generate a number of charts from Muse headband EEG CSV data files created by the Mind Monitor app. Future versions of these tools will support Muse Direct and Muse Lab files.
- Download the archive file, save in a temp directory
- Unzip the file:
$ unzip Muse-Analysis-Tools-master.zip
- Change diretory into the Muse-Analysis-Tools-master directory:
$ cd Muse-Analysis-Tools-master
- Run the setup.py to install the application:
$ python3 setup.py install
- Clone the project using git in a temp directory.
$ git clone https://github.com/digital-cinema-arts/Muse-Analysis-Tools.git
- Change diretory into the Muse-Analysis-Tools-master directory:
$ cd Muse-Analysis-Tools-master
- Run the setup.py to install the application:
$ python3 setup.py install
NOTE: This application requires Python version 3. To check which version of python you have installed enter this command:
$ python --version
Python 3.7.4
- Change directory to where the Mind Monitor CSV files are located.
- Startup the application:
$ analyze_muse_data.py
- Select the options and CSV file you want to process.
- Make plots!
- Output images and session data are created within the same directory that the CSV files live. This will change in the future to allow the user to select the output directory.
For more information about the graphs interface (from matplotlib) please refer to this link: https://matplotlib.org/3.1.1/users/navigation_toolbar.html
The ".ABCS_parms.rc" runtime configuration file can be configured to define often used parameters or for batch processing.
{"First Name": "Debra", "Last Name": "Peri", "Data Dir": "/Volumes/Archive/muse_recordings/muse_monitor_recordings",
"Data Base Location": "/Volumes/Archive/muse_recordings/muse_monitor_recordings", "Filter Data": 1, "Filter Type": 0, "Filter LowCut": 0.5, "Filter HighCut": 7.0}
$ analyze_muse_data.py -h
usage: analyze_muse_data.py [-h] [-f CSV_FILE] [-v VERBOSE] [-d] [-b] [-p]
[-e] [-hdf5] [-ag] [-mc] [-s] [-c] [-r] [-fd]
[-ft FILTER_TYPE] [-lc LOWCUT] [-hc HIGHCUT]
[-o FILTER_ORDER] [-db]
optional arguments:
-h, --help show this help message and exit
-f CSV_FILE, --csv_file CSV_FILE
CSV file to read)
-v VERBOSE, --verbose VERBOSE
Increase output verbosity
-d, --display_plots Display Plots
-b, --batch Batch Mode
-p, --power Plot Power Bands
-e, --eeg Plot EEG Data
-hdf5, --write_hdf5_file
Write output data into HDF5 file
-ag, --accel_gyro Plot Acceleration and Gyro Data
-mc, --mellow_concentration
Plot Mellow and Concentratio Data (Only For Mind
Monitor Data)
-s, --stats_plots Plot Statistcal Data
-c, --coherence_plots
Plot Coherence Data
-r, --auto_reject_data
Auto Reject EEG Data
-fd, --filter_data Filter EEG Data
-ft FILTER_TYPE, --filter_type FILTER_TYPE
Filter Type 0=default 1=low pass, 2=bandpass
-lc LOWCUT, --lowcut LOWCUT
Filter Low Cuttoff Frequency
-hc HIGHCUT, --highcut HIGHCUT
Filter High Cuttoff Frequency
-o FILTER_ORDER, --filter_order FILTER_ORDER
Filter Order
-db, --data_base Send session data and statistics to database
To fix an error with pandas on Linux that occasionally happens, force a reinstall with this command:
pip install --upgrade --force-reinstall pandas
https://github.com/digital-cinema-arts/Muse-Analysis-Tools/wiki/Example-Plots
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