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Empirical mode decomposition analysis of HRV data from patients undergoing local anaesthesia (brachial plexus block)

Shafqat, K., Pal, S., Kumari, S. & Kyriacou, P. A. (2011). Empirical mode decomposition analysis of HRV data from patients undergoing local anaesthesia (brachial plexus block). Physiological Measurement, 32(4), pp. 483-497. doi: 10.1088/0967-3334/32/4/008


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.

Publication Type: Article
Additional Information: This is an author-created, un-copyedited version of an article accepted for publication in Physiological Measurement. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at
Publisher Keywords: heart rate variability (HRV), local anaesthesia, empirical mode decomposition (EMD)
Subjects: R Medicine > RC Internal medicine
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Science & Technology > Engineering
SWORD Depositor:
[thumbnail of CRO 2011 K Shafqat, et al Empirical Mode Decomposition (EMD) analysis of HRV data from patients… Physiological Measurement, 32 483–497.pdf]
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