A Model-Based Framework for Assessing the Physiologic Structure of Electrodermal Activity
OBJECTIVE: We present a statistical model for extracting physiologic characteristics from electrodermal activity (EDA) data in observational settings. METHODS: We based our model on the integrate-and-fire physiology of sweat gland bursts, which predicts inverse Gaussian (IG) inter-pulse interval str...
Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: | https://hdl.handle.net/1721.1/138190 |