EMG Analysis App

Project Description

The EMG Analysis App is an application designed for the comprehensive analysis of electromyography (EMG) signals. It offers a user-friendly interface to capture, process, and visualize data from EMG bands. The application aims to streamline signal processing and analysis by integrating various modules that handle data visualization, machine learning-based classification, and real-time charting.

Functionalities

User Interface (PyQT)

• EMG Band Interface:
  Connect and interact with EMG hardware to capture signals.
• Data Visualization:
  Real-time charts and graphical representations of EMG signals.
• Data Management:
  Integrated module for logging, database synchronization, and managing stored data.
• User Authentication:
  Basic login system for secure access.
• Classification & Machine Learning:
  Tools for classifying and training on the collected data.

Data Synchronization

• Framework integration for consistent synchronization with a database.

Containerization

• Docker support for deploying the application in isolated environments, ensuring consistency across different setups.

Technologies Used

• Programming Language: Python
• User Interface Framework: PyQT
• Containerization: Docker (with accompanying Docker Compose configurations)
• Machine Learning & Data Processing:
  Python libraries for signal processing and classification (exact libraries to be specified based on implementation)
• Database Integration:
  Frameworks or custom connectors for handling data storage and retrieval

Project Structure

• assets/
  Contains graphic resources and supplementary files for the UI.

• backend/
  Manages server-side logic and data handling.

• band_interface/
  Module responsible for interfacing with the EMG band hardware.

• band_tools/
  A set of tools and scripts dedicated to the processing and analysis of EMG signals.

• classifiers_and_tests/
  Houses the implementations of various classifiers and the corresponding unit tests for machine learning components.

• cloud_storage/
  Integration module for cloud-based storage solutions.

• legacy_to_be_deleted/
  Contains outdated code or experimental features marked for removal.

• visualizers/
  Modules dedicated to rendering data visualizations and real-time charts.

Key Files

• connector.py:
  Manages the connection with the database.

• main.py:
  The main entry point of the application.

• setup_env.sh:
  Script for setting up the project environment.

• unit_tests.py:
  Contains unit tests for verifying the functionality of various modules.