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Vol. 211, Issue 4, April 2017, pp. 51-62

 

Bullet

 

Optimal Threshold Estimation Using Cultural Algorithm for EMD-DWT based ECG Denoising
 

Rama Raju N. S. V. N. and 2 V. Malleswara Rao

Department of Electronics and Communications, GITAM University, INDIA
Tel.: 9440922326

E-mail: ramarajupro@gmail.com, vmalleswararao@gitam.edu

 

Received: 2017 /Accepted: 31 March 2017 /Published: 30 April 2017

Digital Sensors and Sensor Sysstems

 

Abstract: The electrocardiogram (ECG) signal is widely used as one of the most important for analysis of cardiac condition of patients. It is necessary to filter the non-stationary noise from source to find clean ECG. This work falls within the overall framework of digital processing of the physiological signal. AT first data driven EMD method is chosen to get the IMFS and these IMFS further passed though DWT for filtration. To achieve the adaptive filtering process better further optimal threshold is calculated based on cultural algorithm. Denoising is performed on MIT-BIH database and evaluated with parameter called SER, MSE, and cross correlation. It is found that the hybrid algorithm EMD + DWT + Cultural based yield better results than traditional methods.

 

Keywords: EMD, DWT, IMF, SER, MSE, Cultural algorithm.

 

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This work is licensed under a Creative Commons 4.0 International License

 

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