NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
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Updated
Sep 6, 2026 - Python
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
A signal quality assessment pipeline and dashboard for wearable physiological data
First‑year BTech Electrical Engineering project (2020–21): NI Multisim simulation of a wearable stress‑meter with sensor‑fusion analytics.
Sussex Psychophysiology Research Protocol (SuPREP)
Systematic review and meta-analysis of affect labeling (Lieberman et al. 2007 paradigm). Random-effects meta-analysis (k=8), PRISMA 2020, RoB 2 / ROBINS-I, ~10,500-word manuscript. Open data and code.
Scripts for a project on emotion, hearing aids, and skin conductance.
This repository is based on my research work "Detecting Freezing of Gait in Parkinson's Disease Patients Using Multi-Modal Machine Learning"
To associate your repository with the skin-conductance topic, visit your repo's landing page and select "manage topics."