scholarly journals Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Sebastian Polak ◽  
Barbara Wiśniowska ◽  
Aleksander Mendyk ◽  
Adam Pacławski ◽  
Jakub Szlęk
Keyword(s):  
Computational Intelligence ◽  
Qt Interval ◽  
Physiological Parameters ◽  
Programming Technique ◽  
Physiological Variables ◽  
Pr Interval ◽  
Wave Morphology ◽  
Heart Electrophysiology ◽  
Interval Response

Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morphology. QT interval and its modification are the most commonly used surrogates of the drug triggered arrhythmia, but it is known that the QT interval itself is determined by other nondrug related parameters, physiological and pathological. In the current study, we used the computational intelligence algorithms to analyze correlations between various simulated physiological parameters and QT interval. Terfenadine given concomitantly with 8 enzymatic inhibitors was used as an example. The equation developed with the use of genetic programming technique leads to general reasoning about the changes in the prolonged QT. For small changes of the QT interval, the drug-related IKr and ICa currents inhibition potentials have major impact. The physiological parameters such as body surface area, potassium, sodium, and calcium ions concentrations are negligible. The influence of the physiological variables increases gradually with the more pronounced changes in QT. As the significant QT prolongation is associated with the drugs triggered arrhythmia risk, analysis of the role of physiological parameters influencing ECG seems to be advisable.

scholarly journals Coughing as a potentially effective induction method of atrial tachycardia: a case report

2020 ◽  
Author(s):  
Reina Tonegawa-Kuji ◽  
Kenichiro Yamagata ◽  
Kengo Kusano
Keyword(s):  
Pulmonary Vein ◽  
Atrial Tachycardia ◽  
Superior Vena ◽  
Vena Cava ◽  
P Wave ◽  
Induction Method ◽  
Voluntary Cough ◽  
Wave Morphology ◽  
The Right

Abstract Background  Cough-induced atrial tachycardia (AT) is extremely rare and its electrical origin remains largely unknown. Atrial tachycardias triggered by pharyngeal stimulation, such as swallowing or speech, appears to be more common and the majority of them originate from the superior vena cava or right superior pulmonary vein (PV). Only one case of swallow-triggered AT with right inferior pulmonary vein (RIPV) origin has been reported to date. Case summary  We present a case of a 41-year-old man with recurring episodes of AT in the daytime. He underwent electrophysiology study without sedation. Atrial tachycardia was not observed when the patient entered the examination room and could not be induced with conventional induction procedures. By having the patient cough periodically on purpose, transient AT with P-wave morphology similar to the clinical AT was consistently induced. Activation mapping of the AT revealed a centrifugal pattern with the earliest activity localized inside the RIPV. After successful radiofrequency isolation of the right PV, AT was no longer inducible. Discussion  In the rare case of cough-induced AT originating from the RIPV, the proximity of the inferior right ganglionated plexi (GP) suggests the role of GP in triggering tachycardia. This is the first report that demonstrates voluntary cough was used to induce AT. In such cases that induction of AT is difficult using conventional methods, having the patient cough may be an effective induction method that is easy to attempt.

Abstract 14311: Qt Interval Correlation Between Telemetry and 12-lead Electrocardiogram

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Mohamed Farhan Nasser ◽  
Ahmad Jabri ◽  
Saima Karim ◽  
Elizabeth Kaufman
Keyword(s):  
Qt Interval ◽  
Ventricular Arrhythmias ◽  
Qt Prolongation ◽  
T Wave ◽  
Qt Intervals ◽  
Increased Risk ◽  
Tangent Method ◽  
Wave Morphology ◽  
Monitoring Service ◽  
Inpatient Units

Introduction: QT prolongation is associated with increased risk of ventricular arrhythmias.As many patients with COVID19 may be started on QT prolonging drugs, measuring and monitoring QT is imperative to prevent fatal ventricular arrhythmias. However, we need to limit exposure of staff to patients with confirmed COVID19 and judiciously use personal protective equipment. Thus, it is important to find alternatives to doing frequent 12-lead ECGs. Hypothesis: We hypothesize that the QT interval measured from telemetry is similar to the QT interval on 12-lead ECG. Methods: Telemetry recordings and 12-lead ECGs were obtained from 15 patients at the same time and identical heart rates. Patients were from two different inpatient units with the same telemetry monitoring service. QT intervals were measured manually using calipers with the tangent method, excluding U waves. Telemetry recordings included lead I and II or a precordial lead. QT from telemetry was compared to the corresponding leads and to the longest QT on the 12-lead ECG. In cases of atrial fibrillation (AF), the QT from all the complexes was averaged. Results: Of 15 patients, 2 were in AF and 2 had RBBB. One patient had abnormal T-wave morphology and QT prolongation (abnormal repolarization). In all patients, QT intervals from the same leads as telemetry matched the QT measured from 12-lead. In 14 of 15 patients, telemetry QT matched the longest QT on the 12-lead ECG. However, in the patient with abnormal repolarization, maximum QT on 12-lead ECG was substantially longer than telemetry QT (Figure 1). Conclusion: When using the same lead, QT intervals were identical on telemetry and 12-lead ECG. However, in the patient with abnormal repolarization, the longest QT on 12-lead ECG was not represented on telemetry. In patients with abnormal repolarization on 12-lead ECG, we recommend serial 12-lead ECGs while on QT-prolonging drugs. Telemetry may suffice as a surrogate for 12-lead ECG to follow QT intervals in most patients.

scholarly journals Key bacterial families (Clostridiaceae, Erysipelotrichaceae and Bacteroidaceae) are related to the digestion of protein and energy in dogs

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3019 ◽  
Author(s):  
Emma N. Bermingham ◽  
Paul Maclean ◽  
David G. Thomas ◽  
Nicholas J. Cave ◽  
Wayne Young
Keyword(s):  
Physiological Parameters ◽  
Apparent Digestibility ◽  
Faecal Microbiota ◽  
Microbial Composition ◽  
Meat Diet ◽  
Gross Energy ◽  
Highly Correlated ◽  
Faecal Weight ◽  
Induced Changes

BackgroundMuch of the recent research in companion animal nutrition has focussed on understanding the role of diet on faecal microbiota composition. To date, diet-induced changes in faecal microbiota observed in humans and rodents have been extrapolated to pets in spite of their very different dietary and metabolic requirements. This lack of direct evidence means that the mechanisms by which microbiota influences health in dogs are poorly understood. We hypothesised that changes in faecal microbiota correlate with physiological parameters including apparent macronutrient digestibility.MethodsFifteen adult dogs were assigned to two diet groups, exclusively fed either a premium kibbled diet (kibble;K;n = 8) or a raw red meat diet (meat;M;n = 7) for nine weeks. Apparent digestibility of macronutrients (protein, fat, gross energy and dry matter), faecal weight, faecal health scores, faecal VFA concentrations and faecal microbial composition were determined. Datasets were integrated using mixOmics in R.ResultsFaecal weight and VFA levels were lower and the apparent digestibility of protein and energy were higher in dogs on the meat diet. Diet significantly affected 27 microbial families and 53 genera in the faeces. In particular, the abundances ofBacteriodes,Prevotella,PeptostreptococcusandFaecalibacteriumwere lower in dogs fed the meat diet, whereasFusobacterium,LactobacillusandClostridiumwere all more abundant.DiscussionOur results show clear associations of specific microbial taxa with diet composition. For example, Clostridiaceae, Erysipelotrichaceae and Bacteroidaceae were highly correlated to parameters such as protein and fat digestibility in the dog. By understanding the relationship between faecal microbiota and physiological parameters we will gain better insights into the effects of diet on the nutrition of our pets.

scholarly journals PR and QT intervals short on the same electrocardiogram

2020 ◽  
Vol 4 (1) ◽  
pp. 001-004
Author(s):  
Breijo-Márquez Francisco R
Keyword(s):  
Qt Interval ◽  
Qt Intervals ◽  
Pr Interval

In 2007, Professor Breijo-Márquez described an electrocardiographic pattern, consisting of the presence of a short PR interval (or PQ) together with a short QT interval in the same individual. It was published with the headline “Decrease in cardiac electrical systole” in International Journal of Cardiology (IJC) [1].

Assessing common classification methods for the identification of abnormal repolarization using indicators of T-wave morphology and QT interval

2012 ◽  
Vol 42 (4) ◽  
pp. 485-491 ◽  
Author(s):  
Saeed Shakibfar ◽  
Claus Graff ◽  
Lars H. Ehlers ◽  
Egon Toft ◽  
Jørgen K. Kanters ◽  
...  
Keyword(s):  
Qt Interval ◽  
Classification Methods ◽  
T Wave ◽  
Wave Morphology

Using Computational Intelligence for Improved Teleoperation over Wireless Network

2012 ◽  
pp. 102-123 ◽  
Author(s):  
Salman H. Khan ◽  
Arsalan H. Khan ◽  
Zeashan H. Khan
Keyword(s):  
Applied Sciences ◽  
Real Time ◽  
Wireless Network ◽  
Computational Intelligence ◽  
Networked Control Systems ◽  
Engineering Applications ◽  
Intelligent Decision ◽  
Application Requirements

The role of computational intelligence techniques in applied sciences and engineering is becoming popular today. It is essential because the autonomous engineering applications require intelligent decision in real time in order to achieve the desired goal. This chapter discusses some of the approaches to demonstrate various applications of computational intelligence in dependable networked control systems and a case study of teleoperation over wireless network. The results have shown that computational intelligence algorithms can be successfully implemented on an embedded application to offer an improved online performance. The different approaches have been compared and could be chosen as per application requirements.

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