Inferring Autonomic Nervous System Stimulation from Hand and Foot Skin Conductance Measurements

Md Rafiul Amin, Rose T. Faghih

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The autonomic nervous system (ANS) stimulates various sweat glands. Changes in skin conductance measurements indicate sudomotor nerve activity (SMNA), and could be used in inferring the underlying ANS stimulation. We model hand and foot skin conductance measurements simultaneously using a state-space model with Gaussian errors and sparse impulsive events as inputs to the model. Using a multi-rate formulation, we recover the timing and amplitudes of SMNA using a generalized cross-validation based sparse recovery approach. We analyze experimental and simulated data to validate the performance of the proposed approach and illustrate that we are able to recover the underlying auditory stimuli.

Original languageEnglish (US)
Title of host publicationConference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages655-660
Number of pages6
ISBN (Electronic)9781538692189
DOIs
StatePublished - Feb 19 2019
Event52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States
Duration: Oct 28 2018Oct 31 2018

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2018-October
ISSN (Print)1058-6393

Conference

Conference52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
Country/TerritoryUnited States
CityPacific Grove
Period10/28/1810/31/18

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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