Abnormality Detection in Indian ECG using Correlation Techniques

نویسندگان

  • Shahanaz Ayub
  • J. P. Saini
  • Jalel Chebil
  • Jamal Al-Nabulsi
  • Mohammed Al-Maitah
  • Sucharita Mitra
  • M Mitra
  • Bin Ramli
  • Chuang-Chien Chiu
  • Tong-Hong Lin
  • Ben-Yi Liau
  • Feng Zhao
  • Qingming Huang
  • Wen Gao
چکیده

The paper proposes a method based on signal processing correlation technique to find out whether the ECG is normal or abnormal. Many of the abnormal ECGs are called Arrhythmias. ECG (lead II) obtained from conventional ECG machine of Indian patients are digitized and the data are cross-correlated with the reference standard normal ECG data. Two different beats of the same ECG data are also correlated. The correlation parameters are used to identify the ECG as normal or abnormal. The accuracy obtained in this method is 100%. The cross-correlation is done using MATLAB 7. 12. 0 (R2011a) tools.

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

Identification of Fraud in Banking Data and Financial Institutions Using Classification Algorithms

In recent years, due to the expansion of financial institutions,as well as the popularity of the World Wide Weband e-commerce, a significant increase in the volume offinancial transactions observed. In addition to the increasein turnover, a huge increase in the number of fraud by user’sabnormality is resulting in billions of dollars in lossesover the world. T...

متن کامل

Identification of Fraud in Banking Data and Financial Institutions Using Classification Algorithms

In recent years, due to the expansion of financial institutions,as well as the popularity of the World Wide Weband e-commerce, a significant increase in the volume offinancial transactions observed. In addition to the increasein turnover, a huge increase in the number of fraud by user’sabnormality is resulting in billions of dollars in lossesover the world. T...

متن کامل

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

Removing ECG Artifact from the Surface EMG Signal Using Adaptive Subtraction Technique

Background: The electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful.Objective: Removing electrocardiogram contamination from electromyogram signals.Methods: In this paper, the clean electromyogram signal, electrocardiogram artifact and e...

متن کامل

Continuous and Cuffless Blood Pressure Monitoring Based on ECG and SpO2 Signals By Using Microsoft Visual C Sharp

Background: One of the main problems especially in operating room and monitoring devices is measurement of Blood Pressure (BP) by sphygmomanometer cuff.Objective: In this study we designed a new method to measure BP changes continuously for detecting information between cuff inflation times by using vital signals in monitoring devices. This will be achieved by extraction of the time difference ...

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