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Bilinear Time-Frequency Representations Of Heart Rate Variability And Respiration During Stress, Rindala Saliba
Bilinear Time-Frequency Representations Of Heart Rate Variability And Respiration During Stress, Rindala Saliba
Dissertations
Recently, joint time-frequency signal representation has received considerable attention as a powerful tool for analyzing a variety of signals and systems. In particular, if the frequency content is time varying as in signals of biological origin which often do not comply with the stationarity assumptions, then this approach is quite attractive. In this dissertation, we explore the possibility of better representation of two particular biological signals, namely heart rate variability (HRV) and respiration. We propose the use of time-frequency analysis as a new and innovative approach to examine the physical and mental exertion attributed to exercise. Two studies are used …
Heart Rate Variability Study Using Phase Response Curve, Peizhuan Zhang
Heart Rate Variability Study Using Phase Response Curve, Peizhuan Zhang
Dissertations
A noninvasive phase resetting experiment on human subjects was investigated. The phase response curve was estimated and was used to demonstrate cardiac phase resetting due to a vagal input. The estimated running phase response curve showed that the cardiac cycle resetting depended on the time and the amplitude of the vagal stimulation. The phase response curve was then studied using time circle analysis, topological analysis and nonlinear dynamics analysis. Also phase entrainment and stimulus frequency dependence of the phase response were evaluated. Further, the Van Der Pol model, Generalized Additive model and Knight and Peskin's model were used to simulate …