The interpretation of very high frequency band of instantaneous pulse rate variability during paced respiration

BioMedical Engineering OnLine

Chia-Chi Chang³  Hung-Yi Hsu²  Tzu-Chien Hsiao¹ 

[1] Department of Computer Science, National Chiao Tung University, 1001 University Road, Hsinchu 300 Taiwan, ROC

[2] Section of Neurology, Department of Internal Medicine, Tungs’ Taichung Metro Harbor Hospital, Taiwan, ROC

[3] Biomedical Electronics Translational Research Center and Biomimetic Systems Research Center, National Chiao Tung University, Taiwan, ROC

关键词: Empirical mode decomposition;    Hilbert-Huang transform;    Pulse rate variability;   

Others  :  794891
DOI  :  10.1186/1475-925X-13-46

 received in 2014-02-19, accepted in 2014-04-15,  发布年份 2014

【 摘 要 】

Background

Pulse rate (PR) indicates heart beat rhythm and contains various intrinsic characteristics of peripheral regulation. Pulse rate variability (PRV) is a reliable method to assess autonomic nervous system function quantitatively as an effective alternative to heart rate variability. However, the frequency range of PRV is limited by the temporal resolution of PR based on heart rate and it is further restricted the exploration of optimal autoregulation frequency based on spectral analysis.

Methods

Recently, a new novel method, called instantaneous PRV (iPRV), was proposed. iPRV breaks the limitation of temporal resolution and extends the frequency band. Moreover, iPRV provides a new frequency band, called very high frequency band (VHF; 0.4-0.9 Hz).

Results

The results showed that the VHF indicated the influences of respiratory maneuvers (paced respiration at 6-cycle and 30-cycle) and the nonstationary condition (head-up tilt; HUT).

Conclusions

VHF is as a potential indication of autoregulation in higher frequency range and with peripheral regulation. It helps for the frequency exploration of cardiovascular autoregulation.

【 授权许可】

   
2014 Chang et al.; licensee BioMed Central Ltd.

【 图 表 】

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【 参考文献 】

• [1]Chattipakorn N, Incharoen T, Kanlop N, Chattipakorn S: Heart rate variability in myocardial infarction and heart failure. Int J Cardiol 2007, 120:289-296.
• [2]Khanokh B, Slovik Y, Landau D, Nitzan M: Sympathetically induced spontaneous fluctuations photoplethysmographic signal. Med Biol Eng Comput 2004, 40:80-85.
• [3]Gil E, Orini M, Bailon R, Vergara JM, Mainardi L, Laguna P: Photoplethysmography pulse rate variability as a surrogate measurement of heart rate variability during non-stationary conditions. Physio Meas 2010, 31:1271-1290.
• [4]Berntson GG Jr, Bigger JT, Eckberg DL, Grossman P, Kaufmann PG, Malik M, Nagaraja HN, Porges SW, Saul JP, Stone PH, Van der Molen MW: Heart rate variability: origins, methods, and interpretive caveats. Psychophysiology 1977, 34:623-648.
• [5]Lu G, Yang F: Limitations of oximetry to measure heart rate variability measures. Cardiovasc Eng 2009, 9:119-125.
• [6]Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Yen NC, Tung CC, Liu HH: The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis. Proc R Soc Lond A 1998, 454:903-995.
• [7]Wu HT, Lee CH, Liu AB, Chung WS, Tang CJ, Sun CK, Yip HK: Arterial stiffness using radial arterial waveforms measured at the wrist as an indicator of diabetic control in the elderly. IEEE Trans Biomed Eng 2011, 58:243-252.
• [8]Chang CC, Hsiao TC, Hsu HY: Frequency range extension of spectral analysis of pulse rate variability based on Hilbert-Huang transform. Med Biol Eng Comput 2014. doi:10.1007/s11517-013-1135-5
• [9]Liu X: A very high frequency index of heart rate variability for evaluation of left ventricular systolic function and prognosis in chronic heart failure patients using five-minute electrocardiogram. J Geriatr Cardiol 2009, 6:213-217.
• [10]Bailón R, Mateo J, Olmos S, Serrano P, García J, Del Río A, Ferreira IJ, Laguna P: Coronary artery disease diagnosis based on exercise electrovardiogram indexes from repolarisation, depolarization and heart rate variability. Med Biol Eng Comput 2003, 41:561-571.
• [11]Drinnan MJ, Allen J, Murray A: Relation between heart rate and pulse transit time during paced respiration. Physiol Meas 2001, 22:425-432.
• [12]Song HS, Lehrer PM: The effects of specific respiratory rates on heart rate and heart rate variability. Appl Psychophysiol Biofeedback 2003, 28:13-23.
• [13]Houtveen JH, Groot PF, Geus EJ: Effects of variation in posture and respiration on RSA and pre-ejection period. Psychophysiology 2005, 42:713-719.
• [14]Chang CC, Hsu HY, Hsiao TC: Quantitative non-stationary assessment of cerebral hemodynamics by empirical mode decomposition of cerebral Doppler flow velocity. Adv Adapt Data Anal 2013, 5(1350002):1-15. doi:10.1142/S1793536913500027
• [15]Huang NE, Wu Z, Long SR, Amold KC, Chen X, Blank K: On instantaneous frequency. Adv Adapt Data Anal 2009, 1:177-229.
• [16]Flandrin P, Rilling G, Goncalves P: Empirical mode decomposition as a filter bank. IEEE Signal Process Lett 2004, 11:112-114.
• [17]Gil E, Vergara JM, Laguna P: Detection of decreases in the amplitude fluctuation of pulse photoplethysmography signal as indication of obstructive sleep apnea syndrome in children. Biomed Signal Process Control 2008, 3:267-277.