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Information Journal Paper

Title

IMPROVEMENT OF ECG SIGNAL NOISE REMOVAL USING RECURSIVE KALMAN FILTER

Pages

  47-52

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.

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    APA: Copy

    MOEIN, SARA, & BEHESHTI, ZAHRA. (2009). IMPROVEMENT OF ECG SIGNAL NOISE REMOVAL USING RECURSIVE KALMAN FILTER. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), 1(4), 47-52. SID. https://sid.ir/paper/186475/en

    Vancouver: Copy

    MOEIN SARA, BEHESHTI ZAHRA. IMPROVEMENT OF ECG SIGNAL NOISE REMOVAL USING RECURSIVE KALMAN FILTER. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER)[Internet]. 2009;1(4):47-52. Available from: https://sid.ir/paper/186475/en

    IEEE: Copy

    SARA MOEIN, and ZAHRA BEHESHTI, “IMPROVEMENT OF ECG SIGNAL NOISE REMOVAL USING RECURSIVE KALMAN FILTER,” JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), vol. 1, no. 4, pp. 47–52, 2009, [Online]. Available: https://sid.ir/paper/186475/en

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