فیلتر های انطباقی

فیلتر های انطباقی

اسلاید 1: University: Adaptive-Filtering-Based Algorithm for Impulsive Noise Cancellation from ECG Signal provider: master:

اسلاید 2: ABSTRACTSuppression of noise and artifacts is a necessary step in biomedical data processing. Adaptive filtering is known as a useful method to overcome this problem. Among various contaminants, there are some situations such as electrical activities of muscles contribute to impulsive noise. This paper deals with modeling real-life muscle noise with α-stable probability distribution and adaptive filtering noise cancellation assessment with maximum correntropy criterion (MCC) as adaptive technique. Based on our test on some data of MIT-BIH arrhythmia and EMBC databases, we achieve an improved signal to noise ratio (SNR) in any electrocardiogram (ECG) signal corrupted by impulsive noise.

اسلاید 3: The SNR improvement on the whole utilized database records is 11.03 dB on average. The proposed algorithm is applied to the records from MIT-BIH arrhythmia and EMBC databases to remove the impulsive noise. A computer simulation is used to create and add it to the ECG signals. Simulation results are also provided to support the discussions.The worst achieved improvement based on setting the best parameter values using trial and error for both filter and utilized algorithm is 9.5 dB with correlation coefficient value of 0.93.

اسلاید 4: INTRODUCTION

اسلاید 5: Due to significant technological advances in signal processing, system enhancements of biomedical signal analysis has become a major research field. Among the biomedical signals, electrocardiogram (ECG) acquires the most studied type for decades. Work on ECG signals has become a significant tool to diagnose for cardiac disorders [1]. Each segment of this biomedical signal type carries various types of important information for the clinician analyzing the patients’ heart condition. For instance, the amplitude and occurrence of the P wave, and the duration of the Q wave, R wave and S wave (QRS) morphography are indicative of the cardiac muscles mass condition [2]. Loss of amplitude indicates muscle damage whereas increased amplitude indicates abnormal heart rates [3]. ..