… Pulse diagnosis has been early a part of ancient medicine and descriptions include its …
All these forms of historical pulse analysis described patterns qualitatively. Quantitative …

… Spectral analysis of heart rate variability in diagnosis of … into account individual heart rate
variability characteristics. 1 … analysis of heart rate fluctuation: A quantitative probe of beat-…

… It would be very difficult if not impossible to find a signal processing technique applied to …
(1987) Heart rate variability signal processing: a quantitative approach as an aid to diagnosis in …

… the sources of variability that can be quantified. While short … been used widely as a diagnostic
tool in biomedicine. The … models and theories of signal processing involved, there is a …

… the new discipline of heart rate variability signal processing has been used to … Heart rate
variability signal processing: A quantitative approach as an aid to diagnosis in cardiovascular …

… There have been several autoregressive models in ECG signal processing. Burg's algorithm,
the least square approach and Yule-Walker method are commonly used (12–14). Each …

… heart rate (HR) and time domain measures. We illustrate the histograms of the heart rate and
related time domain heart rate variability (… We also offer some descriptive and quantitative …

… as a promising marker to study autonomic function and to diagnose pathological states, both
… Quantitative approaches in assessing HRV include linear methods, time domain, frequency …

… Based on previous heart rate variability publications, this paper provides a description of the
most common shortcomings of using the analysis methods and considers recommendations …

… information within a signal could be quantified with absolute … evaluating heart-rate variability
to understand cardiovascular … the nonlinear electrocardiogram signal analysis methods. In …