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QRS-detection-and-ECG-classifier-master

于 2020-12-09 发布文件大小:7KB

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下载积分: 1 下载次数: 6

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代码说明：

ECG的应用，ECG在医疗检测方面发挥着中重要作用，所以，心电信号至关重要(With the application of ECG, ECG plays an important role in medical detection, so ECG signal is very important.)

文件列表：

QRS-detection-and-ECG-classifier-master, 0 , 2018-04-28
QRS-detection-and-ECG-classifier-master\README.md, 554 , 2018-04-28
QRS-detection-and-ECG-classifier-master\R_peak_detection.m, 1019 , 2018-04-28
QRS-detection-and-ECG-classifier-master\base_line_drift_elimination.m, 282 , 2018-04-28
QRS-detection-and-ECG-classifier-master\getting_db.m, 743 , 2018-04-28
QRS-detection-and-ECG-classifier-master\low_pass_filter.m, 395 , 2018-04-28
QRS-detection-and-ECG-classifier-master\main.m, 6789 , 2018-04-28
QRS-detection-and-ECG-classifier-master\notch_filter.m, 295 , 2018-04-28
QRS-detection-and-ECG-classifier-master\p_t_detection.m, 2731 , 2018-04-28
QRS-detection-and-ECG-classifier-master\q_s_detection.m, 707 , 2018-04-28
QRS-detection-and-ECG-classifier-master\wavelet_transform.m, 927 , 2018-04-28

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2006-09-07 14:28:07下载

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说明： ECG的应用：ECG在医疗检测方面发挥着中重要作用，本文中包含ECG 的Q波检测和ECG的分类，所以，心电信号至关重要。(Application of ECG: ECG plays an important role in medical detection. This paper includes Q wave detection of ECG and classification of ECG, so ECG signal is very important.)

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积分：1
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可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。 1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)，获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。 2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。 3.计算各个波段的功率谱。(FFT spectrum can be extracted on EEG. We can use the extracted EEG each band to diagnose some brain disorders or brain tissue on the brain' s electrical activity and functional status were analyzed. One would experimentally measured EEG data file into a text file (has been 50Hz notch), obtained in Matlab platform can be used directly EEG data, that 0661.txt. (2) import data in Matlab and extract Fp1 channel EEG by FFT transform α, β, θ, δ bands were extracted, and do FFT inverse transform variable to the time domain. 3 calculate the power spectrum of each band.)

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积分：1
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2020-12-19 17:49:09下载

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