Correlation of heart rate variability with ST changes during 24 hour Holter monitoring

Author(s):  
D. Sapoznikov ◽  
M.H. Luria ◽  
Y. Mahler ◽  
M.S. Gotsman
1991 ◽  
Vol 17 (2) ◽  
pp. A190
Author(s):  
Hirokazu Nagayoshi ◽  
Akira Kurita ◽  
Bonpei Takase ◽  
Hiroyuki Hikita ◽  
Hideki Mitani ◽  
...  

2014 ◽  
Vol 113 (7) ◽  
pp. S142-S143
Author(s):  
O. Yilmaz ◽  
M. Ciftel ◽  
O. Ceylan ◽  
H. Kahveci ◽  
O. Kilic

1997 ◽  
Vol 80 (3) ◽  
pp. 263-267 ◽  
Author(s):  
Gaetano Antonio Lanza ◽  
Patrizia Pedrotti ◽  
Antonio Giuseppe Rebuzzi ◽  
Vincenzo Pasceri ◽  
Gaetano Quaranta ◽  
...  

2019 ◽  
Vol 7 ◽  
pp. 870-874
Author(s):  
Galya Nikolova Georgieva-Tsaneva

The paper presents frequency methods for estimating the variability of intervals between individual heart beats in Electrocardiogram. This parameter is known in the scientific literature as the Heart Rate Variability and with this method it is possible to make predictions about human health. Three frequency ranges have been studied: Very Low Frequency, Low Frequency, and High Frequency. The study in this paper was based on real cardiological data obtained from 33 patients suffering from heart fibrillations and 29 healthy individuals. The investigated records are obtained through a Holter monitoring of studied individuals in real life conditions. The obtained results show significantly lower values ​​of the tested spectral parameters in the diseased individuals compared to the healthy controls. The accomplished study shows the effective applicability of the spectral methods of Heart Rate Variability analysis and the possibility of differentiation by the spectral parameters of the patients from healthy individuals.


2010 ◽  
Vol 3 ◽  
pp. CMAMD.S4940 ◽  
Author(s):  
Khaled M. Othman ◽  
Naglaa Youssef Assaf ◽  
Hanan Mohamed Farouk ◽  
Iman M. Aly Hassan

Objective To detect the early preclinical alterations in cardiac autonomic control as well as altered cardiac function in systemic sclerosis (SSc) patients and their relevance to the clinical features of the disease using noninvasive methods. Methods 30 SSc patients and 15 healthy controls matched for age and sex underwent clinical examination, serological analysis, and echocardiographic assessment including Doppler flow imaging to evaluate cardiac function, and 24-hour Holter monitoring analyzed for arrhythmia and heart rate variability (HRV) in the time and frequency domains. Results The trans-mitral Doppler of early to atrial wave (E/A) ratio was reversed in five patients (16.6%) and the tricuspid E/A ratio was reversed in 10 patients (33.3%). Holter analysis for SSc patients revealed an increased prevalence of premature ventricular contractions (PVC) ≥ 10/h ( P = 0.02), supra-ventricular tachycardias (SVTs) ( P = 0.2), and total PVC count ( P = 0.0000). Highly significant ( P = 0.000) impairment in all HRV parameters was demonstrated in the SSc patients. Total skin thickness score (TSS), Raynaud's phenomenon and anti-scleroderma 70 (anti-SCL70) showed significant positive correlations with all arrhythmia parameters, while showing a significant negative correlation with the impaired ventricular diastolic function and various HRV parameters. No correlation was found between arrhythmia and HRV parameters and disease duration, disease type, or presence of anti-centromere antibodies. Conclusion Low heart rate variability, increased TSS and the presence of anti-SCL70 are correlated with preclinical cardiac involvement in SSc patients and may predict the likelihood of malignant arrhythmia and sudden cardiac death. Therefore, noninvasive HRV evaluation before clinical cardiac involvement in these patients might be beneficial when added to the clinical and laboratory assessments in detecting high-risk patients, and may allow for implementation of preventive measures and initiation of appropriate therapy early in the course of the disease.


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