BioMedical Engineering OnLine (Dec 2018)

A refined method of quantifying deceleration capacity index for heart rate variability analysis

  • Hongyun Liu,
  • Ping Zhan,
  • Jinlong Shi,
  • Guojing Wang,
  • Buqing Wang,
  • Weidong Wang

DOI
https://doi.org/10.1186/s12938-018-0618-x
Journal volume & issue
Vol. 17, no. 1
pp. 1 – 13

Abstract

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Abstract Background Phase-rectified signal averaging (PRSA) was often applied to assess the cardiac vagal modulation. Despite its broad use, this method suffers from the confounding effects of anomalous variants of sinus rhythm. This study aimed to improve the original PRSA method in deceleration capacity (DC) quantification. Methods The refined deceleration capacity (DC ref ) was calculated by excluding from non-vagally mediated abnormal variants of sinus rhythms. Holter recordings from 202 healthy subjects and 51 patients with end-stage renal disease (ESRD) have been used for validity. The DC ref was compared to original DC (DC org ) by the area under receiver operating characteristic curve. Results Experimental results demonstrate that the original and refined DCs calculated from 24-h, 2-h, and 30-min Holter recordings are significantly lower in patients with ESRD than those in the healthy group. In receiver operating characteristic curve analysis, the DC ref provides better performance than the DC org in distinguishing between the patients with ESRD and healthy control subjects. Furthermore, the refined PRSA technique enhances the low frequency and attenuates high frequency components for spectral analysis in ESRD patients. Conclusions The DC ref appears to reduce the influence of non-vagally mediated abnormal variants of sinus rhythm and highlighting the pathological influence. DC ref , especially assessed from short-term electrocardiography recordings, may be complementary to existing autonomic function assessment, risk stratification, and efficacy prediction strategies.

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