HAPPILEE

HAPPILEE standardizes and automates preprocessing of low-density electroencephalography (EEG) and event-related potential (ERP) data to enable consistent brain-function measurement.

Key Features:

• Standardization and Automation: Implements a standardized automated pipeline specifically tailored for low-density EEG (<32 electrodes) and ERP preprocessing.
• Optimized Processing Steps: Performs filtering, line noise reduction, bad channel detection, artifact rejection from continuous data, segmentation, and bad segment rejection.
• Task-Free and Task-Related Processing: Processes both task-free (e.g., resting-state) and task-related EEG data.
• Quality Metrics and Reporting: Produces post-processing reports that provide detailed quality metrics and summaries of processing-related changes.
• Validation with Recorded and Simulated Data: Performance has been optimized and validated using both recorded and simulated EEG datasets.

Scientific Applications:

• Low-Density EEG and ERP Preprocessing: Prepares low-density EEG and ERP data for subsequent analysis in research and clinical studies.
• Scalable Brain-Function Measurement: Enables preprocessing for studies across diverse environments and populations using low-electrode-count systems.
• Long and Large-Scale Recordings: Supports preprocessing of long recording durations and large sample sizes in cohort or longitudinal studies.
• Cross-Study Comparability: Provides standardized preprocessing to enhance comparability of results across studies and populations.

Methodology:

Filtering, line noise reduction, bad channel detection, artifact rejection from continuous data, segmentation, bad segment rejection, generation of post-processing reports with quality metrics; validated with recorded and simulated EEG datasets.