Skip to main content

hdsemg-select package

Project description


App Icon

🧼 hdsemg-select 🧼

HDsEMG data cleaning tool

A graphical user interface (GUI) application for selecting and analyzing HDsEMG channels from .mat files. This tool helps identify and exclude faulty channels and automatically flag potential artifacts like ECG contamination, power line noise (50/60Hz), or general signal anomalies.

📚 View the full documentation

Key Features

  • ✅ Support for multiple file formats (.mat, .otb+, .otb4)
  • 🧠 Intelligent grid detection and configuration
  • 🖼 Comprehensive visualization tools
  • ⚡️ Advanced artifact detection
  • 💾 Structured data export
  • 🔍 Detailed signal analysis capabilities

Quick Start

  1. Clone the repository:

    git clone https://github.com/johanneskasser/hdsemg-select.git
    cd hdsemg_select
    
  2. Create virtual environment (as admin):

    python -m venv venv
    source venv/bin/activate  # On Windows use venv\Scripts\activate
    pip install -r requirements.txt
    
  3. Run the application:

    python src/main.py
    

📖 For detailed instructions, visit our Installation Guide.

Documentation

Screenshots

Dashboard Signal Overview Plot

Requirements

  • Python 3.8+
  • See requirements.txt for dependencies
  • Tested on Linux and Windows 11

Related Tools

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hdsemg_select-0.2.5.tar.gz (2.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hdsemg_select-0.2.5-py3-none-any.whl (475.8 kB view details)

Uploaded Python 3

File details

Details for the file hdsemg_select-0.2.5.tar.gz.

File metadata

  • Download URL: hdsemg_select-0.2.5.tar.gz
  • Upload date:
  • Size: 2.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for hdsemg_select-0.2.5.tar.gz
Algorithm Hash digest
SHA256 72314cf4e23ef988ad1f8c416c605f36d9e546be6b3325ce21549760b9f1f62c
MD5 56c724e387215e24206ce89cc0dd6234
BLAKE2b-256 58e2c636849884d650091c9c11d27e4c78217d5c26b01730d74260d8f32d7776

See more details on using hashes here.

File details

Details for the file hdsemg_select-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: hdsemg_select-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 475.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for hdsemg_select-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 4c2a482ab7682f2a23eceb14a778c87b0ff3601185f96c2d26ca475c5983fb01
MD5 64e68bc87dd22fcfb4e3b3955a86fed8
BLAKE2b-256 aadcb44ffb9903492f402a4fc88d416faee98145826ec9db246b6d63613dd816

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page