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心电信号处理库文件,包括R波检测、滤波等功能。-ECG deal with library files, including the R-wave detection, filtering.
Date : 2025-12-31 Size : 25kb User : hch_gy

一个开源的心电图测量仪驱动和应用软件,可记录,存储,过滤和识别心电图数据-An open source ECG measuring instrument driver and application software can record, store, filter and identify the ECG data
Date : 2025-12-31 Size : 242kb User : crepzl

数字信号处理使用MATLAB编程的从基础到应用的详细讲解-Digital signal processing using MATLAB programming from basic to the application of detailed briefings
Date : 2025-12-31 Size : 4.11mb User : 田恩远

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REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB. EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) signal, EOG (Electrooculograph) signal or ECG (Electrocardiograph) signal. These artifacts appear as noise in the recorded EEG signal individually or in a combined manner. Usually physicians are misled by these noisy signals and the EEG analysis can go wrong. This paper presents noise cancellation i.e. removal of noise signal which can be either EMG, ECG or a combination of these two artifacts from the corrupted EEG signal and also signal enhancement both using recurrent learning technique. For this purpose, we have implemented the RTRL (Real Time Recurrent Learning) algorithm, -REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB. EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) signal, EOG (Electrooculograph) signal or ECG (Electrocardiograph) signal. These artifacts appear as noise in the recorded EEG signal individually or in a combined manner. Usually physicians are misled by these noisy signals and the EEG analysis can go wrong. This paper presents noise cancellation i.e. removal of noise signal which can be either EMG, ECG or a combination of these two artifacts from the corrupted EEG signal and also signal enhancement both using recurrent learning technique. For this purpose, we have implemented the RTRL (Real Time Recurrent Learning) algorithm,
Date : 2025-12-31 Size : 1kb User : azharuddin

Adaptive Filter implementation using nlms & rls algorithms.
Date : 2025-12-31 Size : 752kb User : taran
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