Heart rate variability analysis using robust period detection

BioMedical Engineering OnLine

Jørgen H Skotte¹  Jesper Kristiansen¹ 

[1] National Research Centre for the Working Environment, Lersø Parkallé 105, DK-2100 Copenhagen, Denmark

关键词: RPD;    FFT;    HRV;    Power spectrum;    Robust periodogram;    Heart rate variability;   

Others  :  1084370
DOI  :  10.1186/1475-925X-13-138

 received in 2014-06-16, accepted in 2014-09-19,  发布年份 2014

【 摘 要 】

Objective

Heart rate variability (HRV) analysis, which is an important tool for activity assessment of the cardiac autonomic nervous system, very often includes the estimation of power spectra for series of interbeat intervals (IBI). Ectopic beats and artifacts have a destructive effect on the standard methods (Fourier transform, FFT) for frequency analysis. This study investigates an alternative method for calculation of the periodogram using a robust period detection (RPD).

Method

Error free IBI series of 5 minutes for 221 subjects during one day were artificially distorted by randomly changing IBI values by ±15-40%. The low to high frequency rate (LF/HF) were calculated from periodograms estimated by the FFT, RPD and Lomb (LSP) methods for both error free and distorted series and for series with removed beats. Log transformed LF/HF values for series with distorted/removed beats were compared to undistorted values by linear regression.

Results

For series with 10% of distorted IBI values the regression analysis between distorted and undistorted series showed a goodness of fit, coefficient and intercept of 0.98, 0.94 and 0.02, respectively. In comparison, the values of these parameters were (0.34, 0.46, -1.61) and (0.28, 0.42,-1.32) for the FFT and LSP methods, respectively. Similarly, the comparison between series with removed and undistorted beats yielded goodness of fit, coefficient and intercept of (0.98, 0.96, -0.01), (0.93, 0.78, -0.02) and (0.98, 0.95, 0.19) for RPD, FFT and LSP, respectively.

Conclusion

The RPD method demonstrated superior performance compared to the FFT and LSP method by estimation of power spectral characteristics for HRV analysis.

【 授权许可】

   
2014 Skotte and Kristiansen; licensee BioMed Central Ltd.

【 图 表 】

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