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Description: 基于MATLAB语言之心电信号处理的文件-MATLAB language-based ECG processing
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Size: 282624 |
Author: JIM |
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Description: 使用Matlab GUI界面实现心电滤波效果交互式查看-To view the filtering result of ECG in the Matlab GUI interface
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Size: 155648 |
Author: Andrew.yukai |
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Description: 用窗函数法hamming设计的FIR数字低通滤波器，能够实现心电信号中随机噪声的去除-Hamming window function method with the design of FIR digital low-pass filter, ECG can be achieved in the removal of random noise
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Size: 1024 |
Author: li ting |
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Description: ecg数据,图形显示(包括p、q、r、s、t这几个波形)-ecg wave
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Size: 287744 |
Author: 苏雁雁 |
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Description: ecgbeat.m
Author - Arun Kumar A , Santhom Computing Facility
Email - aka.bhagya@gmail.com
03/07/09
Program to Calculate the beats of an ECG signal
Uses Continuous Wavelet Transform
Data file should be a csv file
- ecgbeat.m
Author - Arun Kumar A , Santhom Computing Facility
Email - aka.bhagya@gmail.com
03/07/09
Program to Calculate the beats of an ECG signal
Uses Continuous Wavelet Transform
Data file should be a csv file
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Size: 1024 |
Author: dasu |
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Description: ecg matlab for medical instrument
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Size: 73728 |
Author: neila |
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Description: 该代码用Matlab实现的心电信号的处理源程序-The code implemented with the Matlab source code for ECG signal processing
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Size: 6144 |
Author: 李静 |
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Description: ECG中小波变换定位R波，并绘制墨迹大随尺度变化-wavelet locat R in ECG
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Size: 1024 |
Author: Jason Chou |
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Description: 用Matlab进行心电信号滤波，来达到图像处理的目的-Carried out using Matlab ECG filtering, to achieve the purpose of image processing
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Size: 771072 |
Author: 黄海鸣 |
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Description: ECG心电信号预处理，高通滤波器，滤除呼吸基线漂移，带阻滤波器，滤除工频干扰，并两组滤波器的处理速度进行比较-ECG signal preprocessing, high-pass filter, filter respiratory baseline drift, band stop filter, filter frequency interference, and two filters to compare the processing speed
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Size: 2207744 |
Author: mkvt |
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Description: 用于提取EMG/MMG/ECG信号的频谱分析的特征量MATLAB代码，采用的算法是非负分解（NNMF）。-This program is designed to extract the feature of EMG/MMG/ECG signal in hand motions via the non-negative matrix factorization algorithm.
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Size: 8192 |
Author: zy |
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Description: ecg信号检测程序。非常好用！！！ecg信号检测程序。非常好用-ecg detection program---very good，ecg detection program---very good，ecg detection program---very good，ecg detection program---very good，
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Size: 2048 |
Author: zhj |
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Description: filter of ecg it has ecg databases
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Size: 4096 |
Author: osman |
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Description: 四篇关于胎儿心电信号提取的英文文献 ICA算法 很好-fetal ECG sepration based on ICA
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Size: 1114112 |
Author: 于海兰 |
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Description: school work done using Matlab s GUIDE.
It s about signal analysis - ECG
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Size: 493568 |
Author: lizzyzonster |
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Description: MATLAB-based frequency interference notch filter design
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Size: 7168 |
Author: cherry |
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Description: ECGSYN generates a synthesized ECG signal with user-settable mean heart rate, number of beats, sampling frequency, waveform morphology (P, Q, R, S, and T timing, amplitude,and duration), standard deviation of the RR interval, and LF/HF ratio (a measure of the relative contributions of the low and high frequency components of the RR time series to total heart rate variability).
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Size: 4096 |
Author: Ma |
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Description: ECG心电信号matlab仿真画图，其中包括P波、Q波、QRS波、S波、T波和U波-Matlab simulation of ECG ECG drawing, including the P wave, Q wave, QRS wave, S wave, T wave and U wave
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Size: 285696 |
Author: 郑秋平 |
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Description: The early detection of arrhythmia is very important
for the cardiac patients. This done by analyzing the
electrocardiogram (ECG) signals and extracting some features
from them. These features can be used in the classification of
different types of arrhythmias. In this paper, we present three
different algorithms of features extraction: Fourier transform
(FFT), Autoregressive modeling (AR), and Principal Component
Analysis (PCA). The used classifier will be Artificial Neural
Networks (ANN). We observed that the system that depends on
the PCA features give the highest accuracy. The proposed
techniques deal with the whole 3 second intervals of the training
and testing data. We reached the accuracy of 92.7083
compared to 84.4 for the reference that work on a similar
data.-The early detection of arrhythmia is very important
for the cardiac patients. This is done by analyzing the
electrocardiogram (ECG) signals and extracting some features
from them. These features can be used in the classification of
different types of arrhythmias. In this paper, we present three
different algorithms of features extraction: Fourier transform
(FFT), Autoregressive modeling (AR), and Principal Component
Analysis (PCA). The used classifier will be Artificial Neural
Networks (ANN). We observed that the system that depends on
the PCA features give the highest accuracy. The proposed
techniques deal with the whole 3 second intervals of the training
and testing data. We reached the accuracy of 92.7083
compared to 84.4 for the reference that work on a similar
data.
Platform: |
Size: 273408 |
Author: Amit Majumder |
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Description: 这个是一片关于用matlab小波去extrace所有ecg信号的特点的论文
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Size: 296960 |
Author: 刘雨 |
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