Assessment of Quadratic Nonlinear Cardiorespiratory Couplings During Tilt-Table Test by Means of Real Wavelet Biphase

<italic>Objective:</italic> In this paper, a method for assessment of quadratic phase coupling (QPC) between respiration and heart rate variability (HRV) is presented. <italic>Methods:</italic> First, a method for QPC detection is proposed named real wavelet biphase (RWB). Then, a method for QPC quantification is proposed based on the normalized wavelet biamplitude (NWB). A simulation study has been conducted to test the reliability of RWB to identify QPC, even in the presence of constant delays between interacting oscillations, and to discriminate it from quadratic phase uncoupling. Significant QPC was assessed based on surrogate data analysis. Then, quadratic cardiorespiratory couplings were studied during a tilt-table test protocol of 17 young healthy subjects. <italic>Results:</italic> Simulation study showed that RWB is able to detect even weak QPC with delays in the range of <inline-formula><tex-math notation="LaTeX">$\text{0-2}$</tex-math></inline-formula> s, which are usual in the autonomic nervous system (ANS) control of heart rate. Results from the database revealed a significant reduction (<inline-formula><tex-math notation="LaTeX">$p <\text{0.05}$</tex-math></inline-formula>) of NWB between respiration and both low and high frequencies of HRV in head-up tilt position compared to early supine. <italic>Conclusion:</italic> The proposed technique detects and quantifies robustly QPC and is able to track the coupling between respiration and various HRV components during ANS changes. <italic>Significance:</italic> The proposed method can help to assess alternations of nonlinear cardiorespiratory interactions related to ANS dysfunction and physiological regulation of HRV in cardiovascular diseases.

• Publication year

  2017

• Venue

  IEEE Transactions on Biomedical Engineering

• Publication date

  2017-06-01

• Fields of study

  Medicine, Mathematics, Engineering, Computer Science

• Identifiers
  DOI 10.1109/TBME.2018.2821182PMID 29993448
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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