Effect of Loss of Heart Rate Variability on T-Wave Heterogeneity and QT Variability in Heart Failure Patients: Implications in Ventricular Arrhythmogenesis

2017 ◽  
Vol 8 (2) ◽  
pp. 219-228 ◽  
Author(s):  
Sachin Nayyar ◽  
Muhammad A. Hasan ◽  
Kurt C. Roberts-Thomson ◽  
Thomas Sullivan ◽  
Mathias Baumert
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Heart Failure Patients ◽  
T Wave ◽  
Qt Variability ◽  
Ventricular Arrhythmogenesis

scholarly journals 136-02: Effect of Loss of Heart Rate Variability on T-wave Heterogeneity and QT Variability in Heart Failure Patients: Implications in Ventricular Arrhythmogenesis

EP Europace ◽  
2016 ◽  
Vol 18 (suppl_1) ◽  
pp. i89-i89
Author(s):  
Sachin Nayyar ◽  
Muhammad Hasan ◽  
Kurt Roberts-Thomson ◽  
Thomas Sullivan ◽  
Mathias Baumert
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Heart Failure Patients ◽  
T Wave ◽  
Qt Variability ◽  
Ventricular Arrhythmogenesis

THE COMBINATION OF T WAVE ALTERNANS AND HEART RATE VARIABILITY TO PROGNOSIS HEART FAILURE

2011 ◽  
pp. 52-61
Author(s):  
Anh Tien Hoang
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Ventricular Arrhythmias ◽  
Clinical Status ◽  
Treadmill Test ◽  
Positive Predict Value ◽  
Heart Failure Patients ◽  
T Wave ◽  
T Wave Alternans

Objectives: In reccent decades of research now link TWA with inducible and spontaneous clinical ventricular arrhythmias. This bench-tobedside foundation makes TWA a very plausible index of worsen of clinical status. Also with the heart rate variability. We research this study with 2 targets: 1. Prognosis value of TWA and HRV in heart failure. 2. Prognosis value of the combination of TWA and HRV in heart failure. Methods: Prospective study: 82 chronic heart failure patients were admitted to hospital from 2010 May to 2011 May and 50 healthy people were done treadmill test to caculate TWA, ECG, Holter ECG, echocardiography. Results: The combination of TWA and HRV to prognosic the worsen clinical status have the highest prognosis value with OR=102.13 (p<0.001) sensitivity: 80.49%, specificity: 98%, positive predict value: 98.51%, negative predict value: 75.38%. The combination of TWA and HRV to prognosic the ventricular arrythmia have the highest prognosis value with OR=46.25 (p<0.001) sensitivity: 83.33%, specificity: 90.24%, positive predict value: 89.74%, negative predict value: 84.09%. Conclusions: We should combine TWA and HRV in clinical to prognose heart failure patients.

scholarly journals Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Ping Cao ◽  
Bailu Ye ◽  
Linghui Yang ◽  
Fei Lu ◽  
Luping Fang ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Chronic Heart Failure ◽  
Characteristic Curve ◽  
Clinical Analysis ◽  
Healthy Controls ◽  
Heart Failure Patients ◽  
Rr Interval ◽  
Frequency Components

Objective. The deceleration capacity (DC) and acceleration capacity (AC) of heart rate, which are recently proposed variants to the heart rate variability, are calculated from unevenly sampled RR interval signals using phase-rectified signal averaging. Although uneven sampling of these signals compromises heart rate variability analyses, its effect on DC and AC analyses remains to be addressed. Approach. We assess preprocessing (i.e., interpolation and resampling) of RR interval signals on the diagnostic effect of DC and AC from simulation and clinical data. The simulation analysis synthesizes unevenly sampled RR interval signals with known frequency components to evaluate the preprocessing performance for frequency extraction. The clinical analysis compares the conventional DC and AC calculation with the calculation using preprocessed RR interval signals on 24-hour data acquired from normal subjects and chronic heart failure patients. Main Results. The assessment of frequency components in the RR intervals using wavelet analysis becomes more robust with preprocessing. Moreover, preprocessing improves the diagnostic ability based on DC and AC for chronic heart failure patients, with area under the receiver operating characteristic curve increasing from 0.920 to 0.942 for DC and from 0.818 to 0.923 for AC. Significance. Both the simulation and clinical analyses demonstrate that interpolation and resampling of unevenly sampled RR interval signals improve the performance of DC and AC, enabling the discrimination of CHF patients from healthy controls.

scholarly journals S16 Detection of sleep-disordered breathing in chronic heart failure patients: utility of heart rate variability versus pulse oximetry?

Thorax ◽  
2010 ◽  
Vol 65 (Suppl 4) ◽  
pp. A10-A11
Author(s):  
N. R. Ward ◽  
M. R. Cowie ◽  
S. D. Rosen ◽  
V. R. Roldao ◽  
J. Hooper ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Chronic Heart Failure ◽  
Pulse Oximetry ◽  
Sleep Disordered Breathing ◽  
Heart Failure Patients ◽  
Disordered Breathing

Utility of heart rate turbulence and T‐wave alternans to assess risk for readmission and cardiac death in hospitalized heart failure patients

2018 ◽  
Vol 29 (9) ◽  
pp. 1257-1264 ◽  
Author(s):  
Shinya Yamada ◽  
Akiomi Yoshihisa ◽  
Yu Sato ◽  
Takamasa Sato ◽  
Masashi Kamioka ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Cardiac Death ◽  
Heart Rate Turbulence ◽  
Heart Failure Patients ◽  
T Wave ◽  
T Wave Alternans
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