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Updated: Jun 26, 2026

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
Published on: May 10, 2019
Performance analysis of stationary and discrete wavelet transform for action potential detection from sympathetic
Aryan Salmanpour1, Lyndon J Brown, J Kevin Shoemaker
1Department of Electrical and Computer Engineering, and the Neurovascular Research Laboratory, the School of Kinesiology, the University of Western Ontario, ON, Canada. asalmanp@uwo.ca
Abstract:
Accurate investigation of the sympathetic nervous system is important in the diagnosis and study of various autonomic and cardiovascular control and disorders. Sympathetic function associated with blood pressure regulation in humans can be evaluated by recording muscle sympathetic nerve activity (MSNA), which is characterised by synchronous neuronal discharges separated by periods of neural silence dominated by colored gaussian noise. In this paper two common methods for detecting filtered action potential in MSNA recordings is compared. These methods are based on stationary wavelet transform (SWT) and discrete wavelet transform (DWT). The performance analysis are evaluated using simulated MSNA using templates extracted from real MSNA recorded from three healthy subjects.

