Does the proposed heart timing signal method reduce power spectral density estimation error in heart rate variability analysis with ectopic beats compared to usual removal strategies?
Simulated and actual heart rate series containing ectopic beats
Proposed method for minimizing the effect of ectopic beats using the heart timing (HT) signal
Usual ectopic beats removal strategies
Power spectral density (PSD) estimation errorsurrogate
A novel method using the heart timing signal significantly reduces power spectral density estimation error in heart rate variability analysis when ectopic beats are present.
The time-domain signals representing the heart rate variability (HRV) in the presence of an ectopic beat exhibit a sharp transient at the position of the ectopic beat, which corrupts the signal, particularly the power spectral density (PSD) of the HRV. Consequently, there is a need for correction of this type of beat prior to any HRV analysis. This paper deals with the PSD estimation of the HRV by means of the heart timing (HT) signal when ectopic beats are present. These beat occurrence times are modeled from a generalized, continuous time integral pulse frequency modulation model and, from this point of view, a specific method for minimizing the effect of the presence of ectopic beats is presented to work together with the HT signal. By using both, a white noise driven autoregressive model of the HRV signal with artificially introduced ectopic beats and actual heart rate series including ectopic beats, the more usual methods of HRV spectral estimation are compared. Results of the PSD estimation error function of the number of ectopic beats are presented. These results demonstrate that the proposed method has one order of magnitude lower error than usual ectopic beats removal strategies in preserving PSD, thus, this strategy better recovers the original clinical indexes of interest.
Building similarity graph...
Analyzing shared references across papers
Loading...
Javier Mateo
Universidad de Zaragoza
Pablo Laguna
Electrophysiology
IEEE Transactions on Biomedical Engineering
Universidad de Zaragoza
Building similarity graph...
Analyzing shared references across papers
Loading...
Mateo et al. (Sat,) studied this question.
synapsesocial.com/papers/69bf8ca76a803ce3979575ff — DOI: https://doi.org/10.1109/tbme.2003.808831
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: