Wavelet analysis of the Valsalva maneuver: Methodology validation and application to pathological subjects. (May 2017)

• Record Type: Journal Article
• Authors: Corazza, Ivan; Giancaterino, Stefano; Barletta, Giorgio; Cecere, Annagrazia; Guaraldi, Pietro; Calandra-Buonaura, Giovanna; Zannoli, Romano; Cortelli, Pietro
• Is Part Of: Biomedical signal processing and control. Volume 35(2017)
• Page Start: 79
• Page End: 86
• Publication Date: 2017-05
• Subjects: Autonomic nervous system -- Wavelet analysis -- Valsalva maneuver -- Autonomic failure -- Correlation; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2017.02.015
• Languages: English
• ISSNs: 1746-8094

Abstract

Highlights: We tested the HRV during Valsalva tests of healthy and pathological subjects. Our work highlights differences between healthy and pathological subjects. Neurological pathologies are highly complex and even a small result is useful. Abstract: The autonomic nervous system (ANS) regulates physiologic processes occurring without conscious control through the sympathetic and the parasympathetic systems. Since the ANS is one of the major determinants of heart rate (HR), evaluation of HR variability is a powerful instrument to quantify sympathetic and parasympathetic activations. Traditional techniques in the frequency domain are not applicable to short non-stationary signals like the RR intervals during the Valsalva maneuver (VM). The aim of this work was to validate the wavelet approach in analyzing the VM: 14 healthy subjects and 9 with autonomic failure underwent two or more VMs for a total of 68 tests. A Daubechies-16 form mother wavelet and the powers associated with the sympathetic (LF band) and parasympathetic (HF) activities were calculated. Each VM performed by the same healthy subject presented similar morphologies for the RR series and LF and HF powers. The inter-subject comparison showed a good agreement in morphology with a greater variability in sympathetic and parasympathetic activations. Pathological subjects presented a good RR series repeatability without any correlation in LF and HF powers. The wavelet approach is a good methodology to discriminate normal from pathological subjects and further longitudinal evaluation are required.