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Parameters derived from the pulse photoplethysmographic (PPG) signal, such as pulse rate, amplitude, and width variability (PRV, PAV and PWV) have been previously proposed for deriving respiratory rate, obtaining less accurate estimates for higher respiratory rates (0.5–0.6 Hz). In this work we analyze the power of respiration related oscillations in PRV, PAV and PWV as a function of respiratory rate...
In this study, computer simulation examples consisting of various signals with different complexity were compared. It was found that neither approximate entropy (ApEn) nor sample entropy (SampEn) methods was accurate in measuring signals' complexity when the recommended values (e.g., m = 2 and r = 0.1-0.2 times the standard deviation of the signal) were strictly adhered to. However, when we selected...
Interactions among physiological mechanisms are abundant in biomedical signals, and they may exist to maintain efficient homeostasis. For example, sympathetic and parasympathetic neural activities interact to either elevate or depress the heart rate, to maintain homeostasis. There has been considerable effort devoted to developing algorithms that can detect interactions between various physiological...
We present a new, simple, and fast computational technique, termed the incremental slope (IS), that can accurately distinguish between deterministic from stochastic systems even when the variance of noise is as large or greater than the signal, and remains robust for time-varying signals. The IS method is more accurate than the widely utilized Poincare plot analysis especially when the data are severely...
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