Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 5 of 5 for “"Heart Rate Turbulence"”.
-
Do Canines Experience the Effects of Heart Rate Turbulence?
… validated. Thus, it is expected that the canine heart has very similar electrical model to that found in humans. In 1999, the absence of Heart Rate Turbulence (HRT) after a single Pre-Ventricular Contraction (PVC) was linked to high-risk patient after acute myocardial infarction. Studies of HRT …
-
Einfluß der Morphologie ventrikulärer Extrasystolen auf die Heart-Rate-Turbulence bei Patienten nach Myokardinfarkt
Die Heart-Rate Turbulence (HRT) stellt eine neue, aussagekräftige Methode der Risikostratifizierung nach Myokardinfarkt dar. Die initiale Beschleunigung der Herzfrequenz nach einer ventrikulären Extrasystole (VES) wird durch den Turbulence-Onset (TO), die folgende Dezeleration durch den …
-
Association of adverse cardiovascular outcomes with weighted morphologic variability following non-ST-elevation acute coronary syndromes
… electrocardiographic (ECG) measures such as heart rate variability, heart rate turbulence, deceleration capacity, T-wave altemans, and morphologic variability have been used to identify patients at an increased risk of recurrent myocardial infarctions and cardiovascular death. In this work, …
-
A comprehensive assessment of variations in electrocardiogram morphology in risk assessment of cardiovascular death post-acute coronary syndrome
… events such as cardiovascular death, congestive heart failure, or a repeat ACS. Currently, there have been several electrocardiographic metrics used to assess the risk of ACS patients for a future cardiovascular death including heart rate variability, heart rate turbulence, deceleration capacity, …
-
Filter-based multiscale entropy analysis of complex physiological time series
… which filters a time series by filters to generate its multiple frequency components and then compute the {\it blockwise} entropy of the resulting components. By choosing filters adapted to the feature of a given time series, FME is able to better capture its multiscale information and to …