Muscle sympathetic nerve activity (MSNA) is known as an effective measure to evaluate peripheral sympathetic activity; however, it requires invasive measurement with the microneurography method. In contrast, peripheral arterial stiffness affected by MSNA is a measure that allows non-invasive evaluation of mechanical changes of arterial elasticity. This paper aims to clarify the features of peripheral arterial stiffness to determine whether it inherits MSNA features towards non-invasive evaluation of its activity. To this end, we propose a method to estimate peripheral arterial stiffness beta at a high sampling rate. Power spectral analysis of the estimated beta was then performed on data acquired from 15 patients (23.7 pm 9.0 years) who underwent endoscopic thoracic sympathectomy. We examined whether beta exhibited the features of MSNA where its frequency components synchronise with heart and respiration rates and correlates with the low-frequency component of systolic blood pressure. Regression analysis revealed that the local peak frequency in the range of heartbeat frequency highly correlate with the heart rate (R^{2}=0.85, p=6.3times 10^{-13}) where the regression slope was approximately 1 and intercept was approximately 0. Frequency analysis then found spectral peaks of beta approximately 0.2 Hz that correspond to the respiratory cycle. Finally, cross power spectral analysis showed a significant magnitude squared coherence between beta and systolic blood pressure in the frequency band from 0.04 to 0.2 Hz. These results indicate that beta inherits the features observed in MSNA that require invasive measurements, and thus beta can be an effective non-invasive substitution for MSNA measure.
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