scholarly journals Effect of obesity on P-wave dispersion and QT dispersion in women

2006 ◽  
Vol 30 (6) ◽  
pp. 957-961 ◽  
Author(s):  
E Seyfeli ◽  
M Duru ◽  
G Kuvandık ◽  
H Kaya ◽  
F Yalcin
Keyword(s):  
Qt Dispersion ◽  
Wave Dispersion ◽  
P Wave ◽  
P Wave Dispersion

scholarly journals P Wave Dispersion and QT Dispersion in Adult Turkish Migrants with Familial Mediterranean Fever Living in Germany

2014 ◽  
Vol 11 (11) ◽  
pp. 1140-1146 ◽  
Author(s):  
Arnd Giese ◽  
Ahmet Örnek ◽  
Mustafa Kurucay ◽  
Kaffer Kara ◽  
Helmut Wittkowski ◽  
...  
Keyword(s):  
Familial Mediterranean Fever ◽  
Qt Dispersion ◽  
Wave Dispersion ◽  
P Wave ◽  
P Wave Dispersion ◽  
Turkish Migrants ◽  
Mediterranean Fever

scholarly journals QT dispersion and P wave dispersion in patients with fibromyalgia

2017 ◽  
Vol 3 (4) ◽  
pp. 165-168 ◽  
Author(s):  
Servet Yolbas ◽  
Ahmet Yildirim ◽  
Deccane Duzenci ◽  
Bulent Karakaya ◽  
Mustafa Necati Dagli ◽  
...  
Keyword(s):  
Qt Dispersion ◽  
Wave Dispersion ◽  
P Wave ◽  
P Wave Dispersion

NON-INVASIVE ESTIMATION OF DIABETES RELATED FEATURES FROM ECG USING GRAPHICAL PROGRAMAMING LANGUAGE AND MATLAB

2012 ◽  
Vol 12 (04) ◽  
pp. 1240016
Author(s):  
V. KALPANA ◽  
S. T. HAMDE ◽  
L. M. WAGHMARE
Keyword(s):  
Virtual Instrument ◽  
Qt Dispersion ◽  
Wave Dispersion ◽  
P Wave ◽  
Biomedical Sciences ◽  
P Wave Dispersion ◽  
Cardiac Health ◽  
Glucose Levels ◽  
St Depression ◽  
Blood Glucose Levels

Electrocardiography deals with the electrical activity of the heart. The condition of cardiac health is given by the electrocardiogram (ECG). ECG analysis is one of the most important aspects of research in the field of biomedical sciences and healthcare. The precision in the identification of various parameters in the ECG is of great importance for the reliability of an automated ECG analyzing system and diagnosis of cardiac diseases. Many algorithms have been developed in the last few years, each with their own advantages and limitations. In this work, we have developed an algorithm for 12-lead ECG parameter detection which works in three steps. Initially, the signal is denoised by the wavelet transform approach using a graphical programming language called LabVIEW (Laboratory Virtual Instrument Engineering Workbench). Next, primary features are detected from the denoised ECG signal using Matlab, and lastly, the secondary features related to diabetes are estimated from the detected primary features. Diabetes mellitus (DM), which is characterized by raised blood glucose levels in an individual, affects an estimated 2–4% of the world's population, making it one of the major chronic illnesses prevailing today. Recently, there has been increasing interest in the study of relationship between diabetes and cardiac health. Thus, in this work, we estimate diabetic-related secondary ECG features like corrected QT interval (QTc), QT dispersion (QTd), P wave dispersion (PD), and ST depression (STd). Our software performance is evaluated using CSE DS-3 multi-lead data base and the data acquired at SGGS IE & T, Nanded, MS, which contains 5000 samples recorded at a sampling frequency of 500 HZ. The proposed algorithm gives a sensitivity of 99.75% and a specificity of 99.83%.

scholarly journals P-wave and QT Interval Dispersion Analysis in Children with End Stage Renal Disease on Regular Hemodialysis

2020 ◽  
pp. 69-77
Author(s):  
Mai Attia ◽  
Shimaa El-Nemr ◽  
Hend Abd-Elnabi ◽  
Amr Zoair
Keyword(s):  
Renal Disease ◽  
End Stage Renal Disease ◽  
Qt Interval ◽  
Qt Dispersion ◽  
Wave Dispersion ◽  
P Wave ◽  
P Wave Dispersion ◽  
Stage Renal Disease ◽  
End Stage ◽  
Regular Hemodialysis

Objectives: The consequences of hemodialysis on P-wave dispersion and QT dispersion have not been unequivocally documented and understood and may be complex. To investigate homogeneity disorders of atrial conduction and ventricular repolarization and tendency to develop various arrhythmias by demonstrating the effects of hemodialysis in children with end stage renal disease through assessment of P-wave dispersion and QT dispersion (By electrocardiograghy). Methods: Twenty end stage renal disease patients on conventional hemodialysis for at least 12 months and twenty healthy, age and sex matched volunteers were included. Patients underwent echocardiography to exclude any abnormalities of cardiac valves or muscle. A 12-lead electrocardiogram was undertaken in order to measure minimal and maximal (P wave and QT interval) durations, P wave dispersion and QT dispersion. Results: In patient group, males were 13, females were 7 with mean age of 11.9 ± 3.4 years, mean P wave dispersion and QT dispersion were significantly longer than control group. P wave dispersion was significantly shorter after dialysis (mean= 34 ± 13.1 ms) than before dialysis (mean=42.4 ± 14 ms), whereas QT dispersion was longer after dialysis (59 ± 19 ms) than before dialysis (55.5 ± 17 ms) but the differences in QT dispersion was not significant. Also, there was no correlation between neither P wave dispersion nor QT dispersion and the electrolytes. Conclusion: P wave dispersion and QT dispersion was found to be higher in end stage renal disease children on regular hemodialysis than healthy control subjects, indicating heterogeneity disorders of atrial conduction and ventricular repolarization in these patients and tendency to develop various arrhythmias.

scholarly journals P-Wave and QT Dispersion in Children With βeta-Thalassemia

2020 ◽  
pp. 38-45
Author(s):  
Marwa Salama ◽  
Shimaa El-Nemr ◽  
Ibrahim Badraia ◽  
Amr Zoair
Keyword(s):  
Qt Dispersion ◽  
Wave Dispersion ◽  
Thalassemia Major ◽  
Left Ventricular ◽  
P Wave ◽  
Control Group ◽  
P Value ◽  
Internal Diameter ◽  
P Wave Dispersion ◽  
Lv Mass

Aim: This study aimed at assessing P-wave and QT interval dispersion in children with β-thalassemia and to correlate them with various laboratory and echocardiographic data. Methodology: Subjects comprised of 30   children with β-thalassemia major as the patient group. 30 healthy children matched for age and sex served as the control group. All patients were evaluated clinically as well as by echocardiography and 12 leads ECG. The type of study is prospective case control study. Results: There was a statistically significant increase of Interventricular Septal end diastole (IVSd), Interventricular Septal end systole (IVSs), Left Ventricular Internal Diameter end diastole (LVIDd), Left Ventricular Internal Diameter end systole (LVIDs) and Left Ventricular Posterior Wall end diastole (LVPWd) in patients as compared to controls (Mean ±SD = 0.950±0.166, 0.863±0.103, 3.983±0.456, 2.947±0.535a nd 0.797±0.165 respectively) (P < 0.05). Moreover, there were a significant increase of LV mass (Mean ±SD = 107.267±26.736, P= 0.002) and LV mass index of the studied patients (Mean ±SD = 106.900±22.651, P = 0.005) compared to the controls. There were significant decrease of ejection fraction (EF%)( Mean ±SD = 60.373 ± 8.088,  P = 0.032)and fractional shortening (FS%) (Mean ±SD = 29.495 ± 4.171, P = 0.026) of the studied patients compared to control group.  Both P wave dispersion (PWd) (Mean ±SD = 33.667 ± 13.767, P =     0.029) and QT dispersion (QTd) (Mean ±SD = 53.000 ± 18.411, P = 0.001) were significantly higher in patients compared to controls.  There was a significant positive correlation between PWd and serum ferritin (r =0.551, P-value= 0.002), LVIDd (r =0.406, P-value= 0.026), LVPWd (r =0.461, P-value= 0.010), LV mass (r =0.412, P-value= 0.024), and LV mass index(r = 0.379, P-value= 0.039). While, there were a significant positive correlations between QTd and serum ferritin (r =0.654, P-value <0.001), LVIDd (r = 0.388, P-value = 0.034), LV mass (r = 0.454, P-value = 0.012) and LV mass index (r = 0.456, P-value = 0.011). Conclusion: P wave dispersion and QT dispersion were prolonged in children with β-thalassemia major denoting cardiac autonomic dysfunction with homogeneity disorders of atrial conduction and ventricular repolarization in these patients. 

scholarly journals Prolonged P-Wave and QT Dispersion in Children with Inflammatory Bowel Disease in Remission

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Helen Aghdasi Bornaun ◽  
Nuh Yılmaz ◽  
Günsel Kutluk ◽  
Reyhan Dedeoğlu ◽  
Kazım Öztarhan ◽  
...  
Keyword(s):  
Holter Monitoring ◽  
Qt Dispersion ◽  
Wave Dispersion ◽  
P Wave ◽  
Qtc Interval ◽  
Dispersion Parameters ◽  
P Wave Dispersion ◽  
Mean Values ◽  
Inflammatory Bowel ◽  
Interval Dispersion

Objectives.Ulcerative colitis (UC) and Crohn’s disease (CD) are chronic inflammatory bowel diseases (IBD) with unclear underlying aetiologies. Severe cardiac arrhythmias have been emphasised in a few studies on adult IBD patients. This study aimed to investigate the alteration of the P-wave and QT interval dispersion parameters to assess the risk of atrial conduction and ventricular repolarisation abnormalities in pediatric IBD patients.Patients and Methods.Thirty-six IBD patients in remission (UC: 20, CD: 16) aged 3–18 years and 36 age- and sex-matched control patients were enrolled in the study. Twelve-lead electrocardiograms were used to determine durations of P-wave, QT, and corrected QT (QTc) interval dispersion. Transthoracic echocardiograms and 24-hour rhythm Holter recordings were obtained for both groups.Results.The P-wave dispersion, QT dispersion, and QTc interval dispersion (Pdisp, QTdisp, and QTcdisp) were significantly longer in the patient group. The mean values of Pminimum, Pmaximum, and QTcminimum were significantly different between the two groups. The echocardiography and Holter monitoring results were not significantly different between the groups. Furthermore, no differences in these parameters were detected between the CD and UC groups.Conclusion.Results suggest that paediatric IBD patients may carry potential risks for serious atrial and ventricular arrhythmias over time even during remission.

Evaluation of QT dispersion and P wave dispersion in flour mill workers in Pune District.

2021 ◽  
Vol 34 (01) ◽  
Author(s):  
Dr. Prashila P Shende ◽  
◽  
Dr. Krishnakant B Patil ◽  
Keyword(s):  
Qt Dispersion ◽  
Wave Dispersion ◽  
P Wave ◽  
P Wave Dispersion ◽  
Flour Mill
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