NeuroKit

NeuroKit is an open-source Python toolbox for physiological signal processing. It is designed to provide a comprehensive and user-friendly interface for analyzing data collected from a variety of biosensors, including electrocardiography (ECG), electroencephalography (EEG), electrodermal activity (EDA), electromyography (EMG), and respiration. NeuroKit aims to simplify the process of obtaining meaningful insights from complex physiological data by offering pre-processing, feature extraction, and visualization tools.

The core philosophy of NeuroKit is to provide modular and well-documented functions that can be easily combined and customized. This modularity allows users to tailor their analyses to specific research questions and datasets. The toolbox is built upon popular scientific computing libraries like NumPy, SciPy, and Pandas, making it compatible with existing Python-based workflows.

Key functionalities offered by NeuroKit include:

• Signal Preprocessing: Functions for filtering, artifact removal, and noise reduction. This often includes techniques like bandpass filtering, smoothing, and artifact correction algorithms.
• Feature Extraction: Algorithms to extract relevant features from physiological signals, such as heart rate variability (HRV) metrics from ECG data, frequency bands from EEG signals, or amplitude characteristics of EDA responses.
• Event Detection: Tools to identify and mark specific events within physiological recordings, such as heartbeats, R-peaks, or stimulus onsets.
• Visualization: Functions for creating informative plots and visualizations of physiological data and analysis results.
• Statistical Analysis: Basic statistical functions useful for comparing groups or conditions based on the extracted features.

NeuroKit is intended for use by researchers, students, and practitioners in fields such as psychology, neuroscience, medicine, and human-computer interaction. It promotes reproducible research by providing clear and consistent methods for physiological data analysis. The toolbox is continuously updated and improved based on community contributions and feedback.