2020
DOI: 10.1109/access.2020.3012494
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Real Time Non-Invasive Hemodynamic Assessment of Ventricular Tachycardia

Abstract: Hemodynamically unstable ventricular tachycardia (VT) is a critical cardiac arrhythmia associated with hemodynamic compromise that requires immediate cardioversion to prevent sudden cardiac death. Since unnecessary cardioverter defibrillators shocks damage the heart and increase the risk of mortality, the discrimination between unstable (i.e. requiring cardioversion) and stable (i.e. not requiring cardioversion) VT is of paramount importance. The aim of this study was to propose and assess non-invasive identif… Show more

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Cited by 2 publications
(2 citation statements)
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References 28 publications
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“…breathing rate [6] or arterial stiffness, and then using these to predict outcomes [7]. In this study, we focused on the PPG upslope because we previously found that it was closely related to significant hemodynamic changes, such as mechanical alternans [8] and life-threatening ventricular tachycardia [9]. The main strength of this study is the large sample size, over 170 thousand participants, and the long follow-up for multiple outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…breathing rate [6] or arterial stiffness, and then using these to predict outcomes [7]. In this study, we focused on the PPG upslope because we previously found that it was closely related to significant hemodynamic changes, such as mechanical alternans [8] and life-threatening ventricular tachycardia [9]. The main strength of this study is the large sample size, over 170 thousand participants, and the long follow-up for multiple outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…Other studies used blood pressure waveforms together with ECG for a better accuracy. Besleaga et al [131] used invasive ABP waveforms, PPG and ECG signals to distinguish between stable and unstable ventricular tachycardia events. Most of the used features consisted of PPG parameters, while ECG signals were used to extract the heart rate and the ABP signals were used to extract mean ABP and the drop in mean ABP.…”
Section: Arrhythmia Classification Using Arterial Blood Pressure Signalsmentioning
confidence: 99%