ECTMetrics

ECTMetrics is a Python library for analyzing EEG signals, particularly focusing on electroconvulsive therapy (ECT) seizure metrics. It provides functionalities to generate synthetic EEG signals, visualize them, and calculate various metrics related to seizure activity.

Features

• Generate synthetic ECT-specific EEG signals with customizable parameters.

• Visualize EEG signals for better understanding and analysis.

• Import EEG data from GPD (Elektrika Inc®). currently under development

• Calculate various ECT seizure metrics including:

  • Seizure Energy Index (SEI)

  • Average Seizure Energy Index (ASEI)

  • Postictal Suppression Index (PSI)

  • Earlyictal Amplitude (EIA)

  • Midictal Amplitude (MIA)

  • Maximum Sustained Power (MSP)

  • Time to Peak Power (TTPP)

  • Maximum Sustained Coherence (COH)

  • Time to Peak Coherence (TTPC)

Code availability

You can find the source code for this project on GitHub at: https://github.com/maxkayser/ectmetrics

Note

ECTMetrics is under active development, and contributions are welcome. If you encounter issues or have suggestions for improvements, please consult the contact section or open an issue on our repository.

Documentation

Contents:

• Modules
  • eeg
  • metric
• Contact
• Citations
  • }
• License

Indices and tables

• Index

• Module Index

• Search Page