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Paper Information

Journal:   JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER)   FALL 2009 , Volume 1 , Number 4; Page(s) 47 To 52.
 
Paper: 

IMPROVEMENT OF ECG SIGNAL NOISE REMOVAL USING RECURSIVE KALMAN FILTER

 
 
Author(s):  MOEIN SARA, BEHESHTI ZAHRA
 
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Abstract: 

NowadaysM Kalman filter has been wildly used for solving the problem of real world. Kalman filter is a recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. One of the applications of Kalman filter is signal processing. In this paperM we use Kalman filter for electrocardiogram (ECG) signal noise removal. First accidental ECG signals are collected from Physiobank database and then Kalman filter is tuned for noise removing from ECG signals. In additionM we apply Finite Impulse Response (FIR) filter for ECG signal noise removing and finally we compare the performance of two filters using Mean Square Error (MSE) measurement. Results show the superior performance of Kalman filter for ECG signal noise removal.

 
Keyword(s): NOISE REMOVAL, KALMAN FILTER, FINITE IMPULSE RESPONSE FILTER, MEAN SQUARE ERROR
 
References: 
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