Metadata-Version: 2.1
Name: PhysioKit2
Version: 1.7.0
Summary: PhysioKit is a novel physiological computing toolkit which is open-source, accessible and affordable. HCI hobbyists and practitioners can easily access physiological sensing channels that help monitor our physiological signatures and vital signs including heart rate, heart rate variability, breathing rate, electrodermal activities. The toolkit works with a low-cost micro-controller such as Arduino. Currently, it supports acquiring EDA, Resp and PPG using any low-cost Arduino board.
Home-page: https://github.com/PhysiologicAILab/PhysioKit
Author: ['Jitesh Joshi', 'Katherine wang', 'Youngjun Cho']
Author-email: youngjun.cho@ucl.ac.uk
License: MIT
License-File: LICENSE
Requires-Dist: matplotlib
Requires-Dist: neurokit2
Requires-Dist: numpy
Requires-Dist: opencv_contrib_python
Requires-Dist: pyserial
Requires-Dist: PySide6
Requires-Dist: PySide6_Addons
Requires-Dist: PySide6_Essentials
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: torch
Requires-Dist: setuptools
