Title :
New insight into arrhythmia onset using HRV and BPV analysis
Author :
Postolache, Gabriela ; Oliveira, Mário ; Rocha, Isabel ; Girão, Pedro Silva ; Postolache, Octavian
Author_Institution :
Escola Super. de Saude, Univ. Atlantica, Lisbon, Portugal
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
In this paper Heart Rate Variability (HRV) and Blood Pressure Variability (BPV) were analyzed before the onset of cardiac arrhythmia in order to derive markers for short-term forecasting. The (a) coherence between systolic blood pressure (SBP) and cardiac oscillations in low-frequency (LF) and high-frequency (HF) band; (b) fluctuations of phase; (c) HRV and BPV as a LF power and HF power in frequency and time-frequency domain; (d) transfer function analysis of cardiovascular signals were analyzed. Arrhythmia was preceded by: a) lower coherence; b) increase in fluctuations of phase between signals; c) higher spectral energy associated with respiratory frequency in blood pressure signal; d) raise of sympathetic outflow to the heart; e) decreased HRV. Cardiac arrhythmia was characterized mainly by an increase in LF power of blood pressure, cardiac signal and transfer function. During self-termination of arrhythmia a larger increased in total BPV and HRV was recorded. These results suggest that important information about both neuronal cardiovascular control and risk for spontaneous arrhythmia can be provided by combined analysis of frequency, phase, and time-frequency analysis of blood pressure and cardiac oscillation.
Keywords :
cardiovascular system; fluctuations; haemodynamics; medical signal processing; neurophysiology; oscillations; pneumodynamics; time-frequency analysis; BPV analysis; HRV analysis; arrhythmia onset; blood pressure signal; blood pressure variability; cardiac arrhythmia; cardiac oscillations; cardiovascular signal; fluctuations; heart rate variability; high-frequency band; high-frequency power; low-frequency band; low-frequency power; neuronal cardiovascular control; respiratory frequency; short-term forecasting; spectral energy; spontaneous arrhythmia; sympathetic outflow; systolic blood pressure; time-frequency analysis; time-frequency domain; transfer function analysis; Atrial fibrillation; Blood pressure; Coherence; Heart rate variability; Resonant frequency; Time frequency analysis; Wavelet transforms; arrhythmia; blood pressure and heart rate variability; cross-spectral algorithm; wavelet analysis; wavelet coherence; Algorithms; Atrial Fibrillation; Blood Pressure; Heart Rate; Humans;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090739