Electrodermal signal analysis using continuous wavelet transform as a tool for quantification of sweat gland activity in diabetic kidney disease.

Sympathetic innervation of the sweat gland (SG) manifests itself electrically as electrodermal activity (EDA), which can be utilized to measure sudomotor function. Since SG exhibits similarities in structure and function with kidneys, quantification of SG activity is attempted through EDA signals. A methodology is developed with electrical stimulation, sampling frequency and signal processing algorithm.

Sweat gland morphology and physiology in diabetes, neuropathy, and nephropathy: a review.

Sweat glands (SGs) play a vital role in thermal regulation. The function and structure are altered during the different pathological conditions. These alterations are studied through three techniques: biopsy, sweat analytes and electrical activity of SG.