chordspy 0.2.0

An open source bag of tools for recording and visualizing Bio-potential signals like EEG, ECG, EMG, or EOG.

Chords - Python

Chords- Python is an open-source bag of tools designed to interface with Micro-controller development boards running Chords Arduino Firmware. Use Upside Down Labs bio-potential amplifiers to read data, visualize it, record data in CSV Files, and stream it via Lab Streaming Layer.

[!NOTE]
Firmware Required for Arduino: Chords Arduino Firmware

Features

• Multiple Protocols: Supports Wi-Fi, Bluetooth, and Serial communication.
• LSL Data Streaming: Once the LSL stream starts, any PC on the same Wi-Fi network can access the data using tools like BrainVision LSL Viewer.
• CSV Logging: Save raw data with Counter
• GUI: Live plotting for all channels.
• Applications: EEG/ECG/EMG/EOG-based games and utilities (e.g., Tug of War, Keystroke Emulator).

Installation

• Make sure you have the latest version of Python installed.

• Open command prompt and run:

python -m venv venv

venv\Scripts\activate         # For Windows
source venv/bin/activate      # For MacOS/Linux

pip install chordspy

Usage

Run the command and access the web interface:

chordspy  

Web Interface Preview:

Key Options:

• LSL Streaming: Choose a protocol (Wi-Fi, Bluetooth, Serial).
• CSV Logging: Data saved as ChordsPy_{timestamp}.csv.
• Applications: Multiple Applications can be Launch from the Interface simultaneously(e.g., EEG Tug of War).

Connection Guide

WIFI Connection

1. Upload the NPG-Lite WIFI Code to your device.
2. Connect to the device's WIFI network.
3. Click the WIFI button in the interface, then select CONNECT.
4. Once connected, the button will change to Disconnect, and a pop-up will confirm: "Connected via Wifi!"

Bluetooth Connection

1. Ensure Bluetooth is turned ON on your system.
2. Upload the Bluetooth code to your device.
3. Click the Bluetooth button to scan for available devices.
4. Select your device from the list and click Connect.
5. Once connected, the button will change to Disconnect, and a pop-up will confirm: "Connected via Bluetooth!"

Serial Connection

1. Ensure Bluetooth is OFF and the device is connected via USB.
2. Upload the required code to your hardware.
3. Click the Serial button, then select Connect.
4. Once connected, the button will change to Disconnect, and a pop-up will confirm: "Connected via Serial!"

CSV Logging

To save sensor data for future analysis, follow these steps:

1. Start Data Streaming – Begin streaming data via WiFi, Bluetooth, or Serial.
2. Start Recording – Click the Start Recording button (it will change to Stop Recording).
3. File Saved Automatically – The data is saved as ChordsPy_{timestamp}.csv in your default folder.

Visualizing CSV Data - You can plot the recorded data using the CSV Plotter tool.

Applications

Application	Description
ECG with Heart Rate	Real-time ECG with BPM calculation.
EMG with Envelope	Real-time EMG Visualization with Envelope.
EOG with Blinks	Real-time EOG Signal visualization with Blinks marked as Red Dot.
EEG with FFT	Real-time EEG Signal visualization with FFT and Brainpower bands.
EEG Tug of War Game	2 Player EEG Based Game
EEG Beetle game	Real-time EEG focus based game.
EOG Keystroke Emulator	Blink detection triggers spacebar.
GUI	Visualize raw data in real-time
CSV Plotter	Tool to plot the recorded CSV Files

Troubleshooting

• Arduino Not Detected: Ensure the Arduino is properly connected and powered. Check the serial port and baud rate settings.
• CSV File Not Created: Ensure you have write permissions in the directory where the script is run.
• LSL Stream Issues: Ensure that the pylsl library is properly installed and configured. Additionally, confirm that Bluetooth is turned off.

How to Contribute

You can add your project to this repo:

• Add a button in apps.yaml to link your application.
• Include your script as a .py file with LSL Data Reception code. (Pull requests welcome!)

Contributors

We are thankful to our awesome contributors, the list below is alphabetically sorted.

• Aman Maheshwari
• Payal Lakra

The audio file used in game.py is sourced from Pixabay