Cargando…
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...
Autores principales: | Subramanian, Sandya, Purdon, Patrick L., Barbieri, Riccardo, Brown, Emery N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425954/ https://www.ncbi.nlm.nih.gov/pubmed/33822719 http://dx.doi.org/10.1109/TBME.2021.3071366 |
Ejemplares similares
-
Elementary integrate-and-fire process underlies pulse amplitudes in Electrodermal activity
por: Subramanian, Sandya, et al.
Publicado: (2021) -
Point process temporal structure characterizes electrodermal activity
por: Subramanian, Sandya, et al.
Publicado: (2020) -
Quantitative assessment of the relationship between behavioral and autonomic dynamics during propofol-induced unconsciousness
por: Subramanian, Sandya, et al.
Publicado: (2021) -
A Unified Point Process Probabilistic Framework to Assess Heartbeat Dynamics and Autonomic Cardiovascular Control
por: Chen, Zhe, et al.
Publicado: (2012) -
Assessing Autonomic Function from Electrodermal Activity and Heart Rate Variability During Cold-Pressor Test and Emotional Challenge
por: Ghiasi, Shadi, et al.
Publicado: (2020)