Key result
A derived measure of sympathetic arousal based on the time-integral of measured conductance was a better predictor of autonomic arousal relative to conventional measures.
A new convolution model-derived measure of skin conductance provides a better index of autonomic arousal than conventional methods.
May refine sympathetic arousal indexing in research; leaves open clinical validation and adoption.
Autonomic arousal is often indexed by spontaneous fluctuations in skin conductance. Here, we derive a simple measure of sympathetic arousal, using a convolution model of how sudomotor bursting causes fluctuations in skin conductivity. Under this model, the time-integral of measured conductance is proportional to the frequency and amplitude of sudomotor bursts. We demonstrate the validity of this measure in relation to finite impulse response models, and show that it is a better predictor of autonomic arousal, relative to conventional measures.
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Bach et al. (2010) studied Autonomic arousal. Time-integral of measured conductance (convolution model) vs. Conventional measures was evaluated on Prediction of autonomic arousal. A derived measure of sympathetic arousal based on the time-integral of measured conductance was a better predictor of autonomic arousal relative to conventional measures.
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