ECTMetrics - v1.0.3

About ECTMetrics

ECTMetrics is a Python library for analyzing EEG signals, with a focus on electroconvulsive therapy (ECT) seizure metrics. It enables:

• Synthetic EEG signal generation
• Visualization of EEG data
• Calculation of ECT seizure-related metrics

We’re excited to release ECTMetrics v1.0.3

This version includes:

• Fixed an issue where the metric COH (Maximum Sustained Coherence) was previously calculated outside the ictal window. It is now correctly limited to the ictal signal only.
• Updated examples & documentation to reflect the corrected COH calculation and recent changes.

ECTMetrics - v1.0.2

We’re excited to release ECTMetrics v1.0.2

This version includes:

• Basic setup and installation guide for an easier start.
• Core features for EEG signal analysis and ECT seizure metric calculations.
• Links to documentation and examples for guidance and implementation.

About ECTMetrics

ECTMetrics is a Python library for analyzing EEG signals, with a focus on electroconvulsive therapy (ECT) seizure metrics. It enables:

• Synthetic EEG signal generation
• Visualization of EEG data
• Calculation of ECT seizure-related metrics

Get Started

Documentation & Examples: GitHub Repository

ECTMetrics - v1.0.1

Release v1.0.1

Highlights

Added

• Legal disclaimer.
• Toolbox logo.
• Additional documentation.

Fixed

• Various bug fixes and performance improvements.

ECTMetrics - Initial Release

This initial release lays the foundation of the ECTMetrics library’s core functionality, including:

• Basic setup and installation instructions
• Core features implemented in this version
• Links to documentation and examples

Please see the README for more details and feel free to open issues for any bugs or feature requests.