基于小波变换的HRV信号特征提取

2017 2nd International Conference for Convergence in Technology (I2CT) Pub Date : 2017-04-01 DOI:10.1109/I2CT.2017.8226285

D. Gautam, V. K. Giri, K. Upadhyay

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引用次数: 1

摘要

利用小波变换对HRV信号进行特征提取和分析。小波用于心电信号的去噪和峰值检测。然后生成HRV信号，并在MIT-BIH数据库中进行分析。HRV被证明是有效分析心电信号的一个非常重要的工具，因为它是对心率变异性的测量。结果是基于提取或计算HRV信号的一些特征。

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Feature extraction of HRV signal using wavelet transform

This paper presents feature extraction and analysis of HRV signals using wavelet transform. Wavelets are utilized for noise removal and peak detection of ECG signals. Then the HRV signal is generated and analyzed for the MIT-BIH database. HRV is proving itself a very important tool for the effective analysis of ECG signals, as it is the measure of variability found in the heart rate. The results are based on some features of HRV signal which are extracted or calculated.

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2017 2nd International Conference for Convergence in Technology (I2CT)

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