Sympathetic skin response in diabetic children: do diabetic children have diabetic neuropathy?

Wavelet-based motion artifact removal for electrodermal activity

Electrodermal activity (EDA) recording is a powerful, widely used tool for monitoring psychological or physiological arousal. However, analysis of EDA is hampered by its sensitivity to motion artifacts. We propose a method for removing motion artifacts from EDA, measured as skin conductance (SC), using a stationary wavelet transform (SWT). We modeled the wavelet coefficients as a Gaussian mixture distribution corresponding to the underlying skin conductance level (SCL) and skin conductance responses (SCRs). The goodness-of-fit of the model was validated on ambulatory SC data. We evaluated the proposed method in comparison with three previous approaches. Our method achieved a greater reduction of artifacts while retaining motion-artifact-free data.

A continuous measure of phasic electrodermal activity

Electrodermal activity is characterized by the superposition of what appear to be single distinct skin conductance responses (SCRs). Classic trough-to-peak analysis of these responses is impeded by their apparent superposition. A deconvolution approach is proposed, which separates SC data into continuous signals of tonic and phasic activity. The resulting phasic activity shows a zero baseline, and overlapping SCRs are represented by predominantly distinct, compact impulses showing an average duration of less than 2 s. A time integration of the continuous measure of phasic activity is proposed as a straightforward indicator of event-related sympathetic activity. The quality and benefit of the proposed measure is demonstrated in an experiment with short interstimulus intervals as well as by means of a simulation study. The advances compared to previous decomposition methods are discussed.

Sudomotor nerve conduction velocity and central processing time of the skin conductance response

OBJECTIVE

To estimate the sudomotor nerve conduction velocity (CV), the central processing time (CPT) and habituation of the skin conductance response (SCR).

METHODS

SCRs in response to a single deep inspiratory breath, an electrical stimulus and a sound click were obtained from the fingers and toes of 30 healthy adults. Sudomotor nerve conduction velocities were determined after measuring extremity length and latency differences. CPT was estimated by subtracting the efferent time and the known afferent times and neuroeffector times from the onset latency.

RESULTS

The inspiratory SCR habituated slower than the auditory or electrical SCRs. CVs of the 3 modalities did not differ statistically and their mean was 1.07 m s(-1) (95% CI: 1.01-1.13). The inspiratory SCR arrived at the fingers 1.26+/-0.09 s after the onset of chest wall movement. Electrical and auditory SCR onset latencies at the fingers were 1.60+/-0.03 and 1.75+/-0.04 s, respectively. Their CPTs were 140 and 160 ms, estimated from the electrical and auditory SCR onset latencies to the fingers. The CPT for inspiratory SCR was estimated to occur during the inspiratory CPT after the inspiratory decision and before chest movement.

CONCLUSIONS

In contrast to the SCR following an electrical or auditory stimulus, initiation of deep inspiratory SCR occurs before the inspiratory act, precluding any possible input from respiratory afferent receptors and implicating a central generator.

SIGNIFICANCE

This study provides new insights into the origin of the SCR following inspiration.