Evaluation of techniques for estimating the power spectral density of RR-intervals under paced respiration conditions
Schaffer T, Hensel B, Weigand C, Schüttler J, Jeleazcov C (2014)
Publication Type: Journal article
Publication year: 2014
Journal
Publisher: Springer Verlag (Germany)
Book Volume: 28
Pages Range: 481-6
Journal Issue: 5
DOI: 10.1007/s10877-013-9447-4
Abstract
Heart rate variability (HRV) analysis is increasingly used in anaesthesia and intensive care monitoring of spontaneous breathing and mechanical ventilated patients. In the frequency domain, different estimation methods of the power spectral density (PSD) of RR-intervals lead to different results. Therefore, we investigated the PSD estimates of fast Fourier transform (FFT), autoregressive modeling (AR) and Lomb-Scargle periodogram (LSP) for 25 young healthy subjects subjected to metronomic breathing. The optimum method for determination of HRV spectral parameters under paced respiration was identified by evaluating the relative error (RE) and the root mean square relative error (RMSRE) for each breathing frequency (BF) and spectral estimation method. Additionally, the sympathovagal balance was investigated by calculating the low frequency/high frequency (LF/HF) ratio. Above 7 breaths per minute, all methods showed a significant increase in LF/HF ratio with increasing BF. On average, the RMSRE of FFT was lower than for LSP and AR. Therefore, under paced respiration conditions, estimating RR-interval PSD using FFT is recommend.
Authors with CRIS profile
Thorsten Schaffer
Max Schaldach-Stiftungsprofessur für Biomedizinische Technik
Bernhard Hensel
Max Schaldach-Stiftungsprofessur für Biomedizinische Technik
Jürgen Schüttler
Lehrstuhl für Anästhesiologie
Involved external institutions
Germany (DE)How to cite
APA:
Schaffer, T., Hensel, B., Weigand, C., Schüttler, J., & Jeleazcov, C. (2014). Evaluation of techniques for estimating the power spectral density of RR-intervals under paced respiration conditions. Journal of Clinical Monitoring and Computing, 28(5), 481-6. https://dx.doi.org/10.1007/s10877-013-9447-4
MLA:
Schaffer, Thorsten, et al. "Evaluation of techniques for estimating the power spectral density of RR-intervals under paced respiration conditions." Journal of Clinical Monitoring and Computing 28.5 (2014): 481-6.
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