標題: Frequency range extension of spectral analysis of pulse rate variability based on Hilbert-Huang transform
作者: Chang, Chia-Chi
Hsiao, Tzu-Chien
Hsu, Hung-Yi
資訊工程學系
友訊交大聯合研發中心
Department of Computer Science
D Link NCTU Joint Res Ctr
關鍵字: Heart rate variability;Pulse rate variability;Hilbert-Huang transform
公開日期: 1-Apr-2014
摘要: Heart rate variability (HRV) is a well-accepted indicator for neural regulatory mechanisms in cardiovascular circulation. Its spectrum analysis provides the powerful means of observing the modulation between sympathetic and parasympathetic nervous system. The timescale of HRV is limited by discrete beat-to-beat time intervals; therefore, the exploration region of frequency band of HRV spectrum is relatively narrow. It had been proved that pulse rate variability (PRV) is a surrogate measurement of HRV in most of the circumstances. Moreover, arterial pulse wave contains small oscillations resulting from complex regulation of cardiac pumping function and vascular tone at higher frequency range. This study proposed a novel instantaneous PRV (iPRV) measurement based on Hilbert-Huang transform. Fifteen healthy subjects participated in this study and received continuous blood pressure wave recording in supine and passive head-up tilt. The result showed that the very-high-frequency band (0.4-0.9 Hz) varied during head-up tilt and had strong correlation (r = 0.77) with high-frequency band and medium correlation (r = 0.643) with baroreflex sensitivity. The very-high-frequency band of iPRV helps for the exploration of non-stationary autoregulation and provides the non-stationary spectral evaluation of HRV without distortion or information loss.
URI: http://dx.doi.org/10.1007/s11517-013-1135-5
http://hdl.handle.net/11536/23959
ISSN: 0140-0118
DOI: 10.1007/s11517-013-1135-5
期刊: MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
Volume: 52
Issue: 4
起始頁: 343
結束頁: 351
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