A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
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Updated
Apr 26, 2024 - Python
A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
Python implementations of machine learning algorithms for motion artifact detection in electrodermal activity (EDA) data
The long way from K.G.Jung to contemporary polygraphists. The progress is evident, but maybe something important and essential is lost? Let's try to be clear and sort things out with Arduino. "Aha, a looking glass into the unconscious!" - Carl Jung If you have interest, Arduino board, some cheap components, patience to understand several simple …
Sussex Psychophysiology Research Protocol (SuPREP)
Master's thesis - Assessment of cognitive load in extreme environment
Dataset, example models and demostration of our Interspeech 2019 paper
Python code for SparsEDA EDA/GSR decomposition method
legacy repo for R package suite for psychophysiological data; see github.com/psyphr-dev
Ejemplo de Procesamiento de Actividad Electrodérmica
Stress test triggering application using Bitalino device via BLE.
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