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Journal of Applied Sciences
  Year: 2014 | Volume: 14 | Issue: 14 | Page No.: 1628-1632
DOI: 10.3923/jas.2014.1628.1632
 
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K-nearest Neighbour Method of Analysing the ECG Signal (To Find out the Different Disorders Related to Heart)

S. Jayalalitha, D. Susan, Shalini Kumari and B. Archana

Abstract:
Heart attack is very common thing now-a-days. This results because of many disorders occurring in the heart. These disorders can be found out by analysing the ECG signal. The conventional method of analysing the ECG signal is done by the doctors who are expert in that. So far there is no systematic procedure for analysing the ECG signal. The main goal of this study is to obtain a systematic method of analysing the Electrocardiogram (ECG) from the patient and display the types of disorder. The ECG from the patient is taken and by loop analysis every point in the data is checked and analysed using two new methods namely the direct comparison method and kNN method. The ECG parameters such as shape of the waveform, heart rate, time interval, amplitude (voltage) etc., are taken for analysis. kNN (K-Nearest Neighbour) algorithm is a search algorithm which finds the nearest distance from the training data and this method is used to compare the corresponding predefined values of different disorders of the heart with the sampled data and the inference from the comparison results are displayed. In case of multiple disorders, the KNN finds the most prominent one. Simulation is done using MATLAB.
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How to cite this article:

S. Jayalalitha, D. Susan, Shalini Kumari and B. Archana, 2014. K-nearest Neighbour Method of Analysing the ECG Signal (To Find out the Different Disorders Related to Heart). Journal of Applied Sciences, 14: 1628-1632.

DOI: 10.3923/jas.2014.1628.1632

URL: https://scialert.net/abstract/?doi=jas.2014.1628.1632

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