slugAn Approach To Automatically Detect Cardiac Arrhythmia
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 4
Abstract
Electrocardiogram (ECG), a non-invasive technique is used as a primary diagnostic tool for cardiovascular diseases. The main objective is to make the analysis of normal and abnormal beats easy so that the patient could be diagnosed for the heart problems in less time as well more accurately so that medical practitioners have primary information about the ailment and could start a treatment early.. However, it is very difficult to identify the minute changes in ECG signals which indicate a particular type of cardiac abnormality, hence imposing the need for a computer assisted diagnosis tool. A computer based intelligent system for analysis of cardiac states is very useful in diagnostics and disease management. In this work, we propose a methodology for the automatic detection of normal and abnormal cardiac conditions using ECG signals. ECG signals from MIT BIH arrhythmia database were used for analysis and classification. The ECG signals were first denoised using wavelet based denoising technique. After the denoising, it was subjected to QRS complex detection. The QRS complex is physiologically an important peak in the ECG signal. After detection of QRS complex, the ECG was segmented to obtain 200 samples segment as a beat for subsequent analysis. The segmented ECG signal was used for its dimensionality reduction using Principal component analysis(PCA).PCA implementation decreases the training error and the sum of the training and test times. In total 12 components were used for the pattern classification using feed forward neural network. The proposed system is clinically ready to deploy for mass screening programs. Overall, compared to previous techniques, this system is more suitable for diagnosis of cardiac arrhythmia with highest accuracy.
Authors and Affiliations
Priyanka Urban, E. Smily Jeya Jothi
Keywords
Related Articles
- EP ID EP17971
- DOI -
- Views 317
- Downloads 12
A Review of Development of Mechanical Properties of Self Compacting Concrete Contain Rice Husk Ash
The scope of this research was to determine the usefulness of Rice husk ash (RHA) in the development of economical self compacting concrete (SCC). The cost of materials will be decreased by reducing the cement content b...
Video Processing Based Smart Helmet
As the statistics suggest the number of people using two wheeler as a mode of their transportation is increasing day by day. And in turn this increase in no. of two wheelers also has led to the increase in no. of accide...
Automatic Door Locking System Using Bluetooth Module
Smart home automation system playes a major role which helps in reducing a work by using some technologies. The proposed work is to send a signal to door from a tablet or mobile devices by using bluetooth system. This a...
Content Based Image Retrieval for Lung CT Slices using Texture Features
Content Based Image Retrieval (CBIR) is used to retrieve the relevant CT slices from the database based on the query CT slice. In the proposed method, the database consists of diseased CT slices of Cavitary TB. The proc...
A Review on Cryogenic Rocket Engine
A coupled finite element fluid-structure interaction analysis of re generatively cooled rocket combustion chambers, which allows the computation of the coolant flow and the heat conduction between the coolant and the co...