pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity

Physiological response is an automatic reaction that triggers a physical response to a stimulus such as stress, emotion, pain, etc. Examples include changes in heart rate, respiration, perspiration, and eye pupil dilation. Electrodermal Activity (EDA), also known as Galvanic Skin Response (GSR), mea...

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Veröffentlicht in:	Procedia computer science Jg. 184; S. 99 - 106
Hauptverfasser:	Hossein Aqajari, Seyed Amir, Naeini, Emad Kasaeyan, Mehrabadi, Milad Asgari, Labbaf, Sina, Dutt, Nikil, Rahmani, Amir M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2021
Schlagworte:	Autoencoders Convolutional Neural Networks Electrodermal Activity Galvanic Skin Response Health Monitoring Internet of Things Machine Learning Open-Source Physiological signals Toolkit Wearable Electronics Health Monitoring Galvanic Skin Response Electrodermal Activity Physiological signals Autoencoders Toolkit Convolutional Neural Networks Internet of Things Machine Learning Open-Source Wearable Electronics
ISSN:	1877-0509, 1877-0509
Online-Zugang:	Volltext
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