Using Blood Pressure Data to Detect Premature Ventricular Contraction Beat

نویسندگان

  • G.M.A Ehsanur Rahman
  • Nahid Hasan
  • M Saddam Hossain Khan
چکیده

In this paper we present an algorithm to detect premature ventricular contraction beats (PVCs) which based on blood pressure measuring data technique. A PVC beat is chosen and compared with the number of heart beats per unit time (Heart rate) using Mat lab. The heart rate may be too fast or too slow. PVC beats are then detected using a decision parameter which is a discrete function of two unequal indices. One of the indices is linearly dependent on inter-beat duration time and the other is a total beat duration time of the premature ventricular contraction coefficient between blood pressure beat and the PVC beat. Potential of this proposed method was examined using Mat lab algorithm database. Results show high sensitivity of beat recognition. Index Term— Blood Pressure Pulse (BPP), Beat rate (BR), Blood pressure (BP), Heart rate (HR), Premature ventricular

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

تشخیص آریتمی انقباضات زودرس بطنی در سیگنال الکتریکی قلب با استفاده ازترکیب طبقه‌بندها

Cardiovascular diseases are the most dangerous diseases and one of the biggest causes of fatality all over the world. One of the most common cardiac arrhythmias which has been considered by physicians is premature ventricular contraction (PVC) arrhythmia. Detecting this type of arrhythmia due to its abundance of all ages, is particularly important. ECG signal recording is a non-invasive, popula...

متن کامل

Neural Network Classification of Premature Heart Beats

In this paper, we analyse features from R waveform of electrocardiogram (ECG) and arterial blood pressure (ABP) signals for classifying premature heart beats. Detection of these beats is important as they could be a pre-cursor for serious arrhythmias. The fusion of ECG and ABP signals to detect premature heart beats are relatively new as most methods use only ECG signals. Two new features, mobi...

متن کامل

Discrimination of the Heart Ventricular and Atrial Abnormalities via a Wavelet-Aided Adaptive Network Fuzzy Inference System (ANFIS) Classifier

The aim of this study is to address a new feature extraction method in the area of the heart arrhythmia classification based on a metric with simple mathematical calculation called Curve-Length Method (CLM). In the presented method, curve length of the under study excerpted segment of signal is considered as an informative feature in which the effect of important geometric parameters of the ori...

متن کامل

Effect of positive inotropic agents on the relation between oxygen consumption and systolic pressure volume area in canine left ventricle.

We analyzed the effect of positive inotropic agents on the relation between left ventricular oxygen consumption and the systolic pressure-volume area. Pressure-volume area is a measure of total mechanical energy for ventricular contraction, and is a specific area in the ventricular pressure-volume diagram circumscribed by the end-systolic and end-diastolic pressure-volume relation curves and th...

متن کامل

Systolic Direct Ventricular Interaction Mects Left Ventricular Contraction and Relaxation in the Intact Dog Circulation

Changes in right venblcular systolic fimction directly inanence left ventricular systolic function. Most of our knowledge of this systolic direct ventricular interaction comes from studies of isolated hearts, which suggest that changes in right venMcular size only affect left ventricular systolic firnction at low pressures and volumes. However, almost nothing is known about systolic direct vent...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012