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Article
Ventricular ectopic beats in structurally normal heart: When to stop investigations
دقات خارج الرحم البطيني في القلب الطبيعي هيكليا: متى لوقف التحقيقات

Author: Sabah Z. Zangana
Journal: Zanco Journal of Medical Sciences مجلة زانكو للعلوم الطبية ISSN: 19955588/19955596 Year: 2015 Volume: 19 Issue: 1 Pages: 910-914
Publisher: Hawler Medical Univeristy جامعة هولير الطبية

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Abstract

Background & Objectives: Ventricular ectopic beats (extra systoles, premature beats) are frequently found in healthy people. Ectopic beats in patients without apparent heart disease are more prominent at rest and disappear with exercise. Treatment is not necessary unless the patient is highly symptomatic. Methods: Patients having ventricular ectopic beats were assessed clinically, by ECG and by echocardiography. Those with normal structure hearts underwent exercise ECG and among those we selected 50 patients whose ectopics were suppressed by exercise then followed them for 5 years. The study started from 2000 to 2010. Results: During 5-year follow-up of the above mentioned patients, relevant complications such as dangerous ventricular arrhythmias, ischemic heart diseases or heart failure were not recorded. Conclusions: In patients having ventricular ectopic beats and structurally normal heart, the suppressibilty of the ectopic by exercise indicated their benign origin and may preclude further invasive investigations and even specific treatment.

Keywords

Heart --- Arrhythmia --- Ectopic --- ECG --- Kirkuk


Article
Short Term Effects of Antiepileptic Drugs on the Heart Using Electrocardiograph as an Assessment Tool of Investigation: A Pilot case Finding Study

Author: Sura A. Al-Mahdawi *, Marwan S.M. Al-Nimer**,Namir M.T. Bdullah ***
Journal: Iraqi Academic Scientific Journal المجلة العراقية للاختصاصات الطبية ISSN: 16088360 Year: 2015 Volume: 14 Issue: 4 Pages: 492-498
Publisher: The Iraqi Borad for Medical Specialization المجلس العراقي للاختصاصات الطبية

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Abstract

ABSTRACT:BACKGROUND: Antiepileptic drugs can induce changes in the electrocardiograph (ECG) records including prolongation of QT interval but there is no evidence to link this effect with the sudden death that reported in epilepsy. The new generations of antiepileptic drugs showed variable effect on the heart. Lamotrigine did not prolonged the QT interval in healthy subjects while levetiracetam prolonged the QT interval in patients cardiac channelopathy presented with congenital long QT syndrome.OBJECTIVE:This study aimed to investigate effects of antiepileptic drugs that prescribed in a therapeutic regimen to new cases of epilepsy as a part of management on the ECG records at the end of the 1st three months of treatment.PATIENTS AND METHODS: A total number of 25 patients, presented for the first time with epilepsy, were recruited from Al-Yarmouk Teaching hospital. Each patient was assessed clinically by consultant neurology prior to enrollment in the study. An electrocardiogram (ECG) was obtained at the time of entry into the study prior to the admission of the study and after three months of treatment with antiepileptic drugs. In addition to the measurements of heart rate and different ECG intervals, a QT-nomogram and cardiac restitution were used in analysis.RESULTS:At the time of entry, three patients had a significant short corrected QT interval (QTcB); four patients had a borderline QTcB interval; and one patient had prolonged QTcB interval. QT-nomogram revealed that many patients have abnormal interval and antiepileptic drugs significantly reduced the relaxation phase of cardiac cycle and prolonged the ventricular repolarization.CONCLUSION:Antiepileptic drugs carried a harmful effect on the heart and their assessment should be not restricted in the measurement of QT interval before and after treatment or to study their effects on the healthy subject as epilepsy is commonly associated with mutation of sodium and/or potassium channels. Case finding of significant prolonged QT interval in respect to gender and age, assessment of QT nomogram and cardiac restitution are useful tools to identify the patients who are at risk of arrhythmias.

Keywords

KEY WORDS: epilepsy --- ECG --- QTcB --- restitution.


Article
Wireless Sensor Network for Medical Applications

Authors: Hanady S.Ahmed --- Abduladhem Abdulkareem Ali
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2015 Volume: 11 Issue: 1 Pages: 49-59
Publisher: Basrah University جامعة البصرة

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Abstract

This work presents a healthcare monitoring system that can be used in an intensive care room. Biologicalinformation represented by ECG signals is achieved by ECG acquisition part . AD620 Instrumentation Amplifierselected due to its low current noise. The ECG signals of patients in the intensive care room are measured throughwireless nodes. A base node is connected to the nursing room computer via a USB port , and is programmed with aspecific firmware. The ECG signals are transferred wirelessly to the base node using nRF24L01+ wireless module.So, the nurse staff has a real time information for each patient available in the intensive care room. A starWireless Sensor Network is designed for collecting ECG signals . ATmega328 MCU in the Arduino Uno boardused for this purpose. Internet for things used For transferring ECG signals to the remote doctor, a Virtual PrivetNetwork is established to connect the nursing room computer and the doctor computer . So, the patientsinformation kept secure. Although the constructed network is tested for ECG monitoring, but it can be used tomonitor any other signals.


Article
Neuro-Fuzzy Based ECG Signal Classification with A Gaussian Derivative Filter
تصنيف اشارة القلب باعتماد النظام العصبي المضبب ومرشح نوع مشتقة كاوس

Authors: H. N. Yahya وهبة نبيل يحيى --- S. N. M. Al-Faydi سما نزار محمد --- Dr. J. M. Abdul-Jabbar د. جاسم محمد عبد الجبار
Journal: AL Rafdain Engineering Journal مجلة هندسة الرافدين ISSN: 18130526 Year: 2015 Volume: 23 Issue: 2 Pages: 153-166
Publisher: Mosul University جامعة الموصل

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Abstract

In this paper, a neuro-fuzzy classification method is used for identifications of ECG signals. A feature extraction method with a QRS like filter (first order Gaussian derivative filter) is used. Five standard parameters (energy, mean value, standard deviation, maximum and minimum) are extracted from these diseasefeatures and then used as inputs for the neuro-fuzzy classification system. The ECG signals are importedfrom the standard MIT-BIH database. Five types of ECG signalsare used for classification; they are normal sinus rhythm (NSR), left bundle branch block (LBBB), right bundle branch block (RBBB), premature ventricular contraction (PVC) and pacemaker (PM). The proposed system combines the neural network adaptive capabilities and fuzzy inference system with the suitable filter design to give a promising classification accuracy of 99%.

الخلاصةفي هذا البحث, تم استخدام طريقة التصنيف باعتماد (Neuro – fuzzy) لاغراض التعرف على اشارات ECG . واستعملت طريقة لاستخلاص السمات بالاعتماد على مرشح ذو استجابة بنوع مشتقة كاوس الاولى والتي تشبه تركيبة QRS في اشارة اﻟECG . تم بعد ذلك استخدام تلك السمات كادخالات لمنظومة التصنيف باعتماد (Neuro - fuzzy) .اٍن اشارات ECG المستخدمة في هذا البحث تم الحصول عليها من (The standard MIT-database) . واستخدم منها خمس انواع هي (NSR) ̦ (LBBB) ̦ (RBBB) ̦ (PVC) ̦ (PM) . ان المنظومة المستخدمة تجمع بين الامكانات المتكيفة للشبكات العصبية وبين الموائمة الضبابية مع التصميم المناسب للمرشح وهذا اعطى دقة تصنيف واعدة وبنسبة 99% .

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