title: Empirical mode decomposition analysis of HRV data from patients undergoing local anaesthesia (brachial plexus block).
abstract: Spectral analysis of heart rate variability (HRV) is used for the assessment of cardiovascular autonomic control. In this study, a data-driven adaptive technique called empirical mode decomposition (EMD) and the associated Hilbert spectrum has been used to evaluate the effect of local anaesthesia on HRV parameters in a group of 14 patients undergoing axillary brachial plexus block. The normalized amplitude Hilbert spectrum was used to calculate the error index associated with the instantaneous frequency. The amplitude and the frequency values were corrected in the region where the error was higher than twice standard deviation. The intrinsic mode function (IMF) components were assigned to the LF and the HF part of the signal by making use of the centre frequency and the standard deviation spectral extension estimated from the marginal spectrum of the IMF components. The optimal range of the stopping criterion was found to be between 4 and 9 for the HRV data. The statistical analysis showed that the LF/HF ratio decreased within an hour of the application of the brachial plexus block compared to the values at the start of the procedure. These changes were observed in 13 of the 14 patients included in this study.
authors.affiliation: School of Engineering and Mathematical Sciences (SEMS), City University, London, UK. k.shafqat@city.ac.uk
authors.forename: K
authors.initials: K
authors.lastname: Shafqat
authors.forename: S K
authors.initials: SK
authors.lastname: Pal
authors.forename: S
authors.initials: S
authors.lastname: Kumari
authors.forename: P A
authors.initials: PA
authors.lastname: Kyriacou
mesh_terms: D000772:Anesthesia, Local; D001917:Brachial Plexus / Q000187:drug effects*; D005260:Female; D006339:Heart Rate / Q000187:drug effects*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009407:Nerve Block; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted; D013057:Spectrum Analysis