基于小波的心电信号去噪及信噪比改进

2016 2nd International Conference on Next Generation Computing Technologies (NGCT) Pub Date : 2016-10-01 DOI:10.1109/NGCT.2016.7877498

Tanuj Yadav, R. Mehra

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引用次数: 11

摘要

心电图是一种重要的诊断工具，通过简单的电极连接，即可获取与心脏有关的信息。用现代心电图机计算心率是非常容易和简单的。心电信号的去噪是获得绝对结果以更好和正确诊断心脏问题的主要问题。在小波变换的帮助下，利用阈值技术对心电信号进行去噪。在MIT-BIH心律失常数据库上进行了软、硬阈值测试，并添加了人工噪声。结果表明，在dB -4小波基和不同成分电平的作用下，获得的信噪比最佳值为52.073774 dB。

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Denoising and SNR improvement of ECG signals using wavelet based techniques

The Electrocardiogram is an important diagnostic tool used to fetch out the information related to human heart simply by attaching the electrodes. The calculation of heart rate is very easy and simple with modern ECG machines. The denoising of ECG signal is a main concern to get the absolute results for better and corrective diagnosis of heart problems. The thresholding techniques are used for denoising of ECG signals with the help of Wavelet Transform. Soft and Hard Thresholding is tested on MIT-BIH Arrhythmia database along with additional artificial noise. The results are shown in terms of Signal to noise Ratio (SNR) and the best achieved value is 52.07374 dB with the help of DB-4 wavelet basis and different compositional level.

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2016 2nd International Conference on Next Generation Computing Technologies (NGCT)

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