一种基于傅立叶级数建模的新型心电波检测和新的压缩技术，可用于长达26天的动态心电图监测

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI:10.1109/ICABME53305.2021.9604902

Alaa Daher, Sally Yassin, M. Ayache

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引用次数: 0

摘要

提出了一种基于傅立叶级数建模的心电信号压缩新方法。压缩的目标是使心电动态心电图仪能够记录和存储数天的心电数据，而不是仅仅24小时，同时保持信号的所有特征。该方法使用4次傅里叶级数可记录26天，使用5次傅里叶级数可记录21天，精度高，均方误差(RMSE)约为0.001，被认为是极低和令人满意的。

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A Novel ECG Waves Detection Followed by a New Compression Technique Based on Fourier Series Modeling for up to 26 Days Holter Monitor

This paper presents a new concept for electrocardiogram (ECG) signals compression based on Fourier series modeling. The goal of the compression is to enable the ECG Holter to record and store ECG data for several days instead of just 24 hours while maintaining all the features of the signals. This proposed method can be used to record up to 26 days when using Fourier series of 4th degree, and 21 days when using Fourier series of 5th degree, whith high accuracy and a mean square error (RMSE) of approximately 0.001, which is considered extremely low and satisfactory.

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来源期刊

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)

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