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Implementation of real-time filter using an open-source platform oriented to R-wave detection

机译:使用面向R波检测的开源平台实现实时滤波器

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The electrocardiographic signal (ECG) reflects the electrical behavior of the human heart. The ECG signal is composed by different waveforms: P, Q, R, S and T. The R wave is normally the easiest waveform to identify on the ECG. The R wave is also the component with the highest amplitude and its detection allows the estimation of the heart rate. This paper is devoted to present the design of a digital filter implemented on an open hardware platform called Arduino to detect the R wave of the ECG signal. The filter design is based on the integration of a smooth filter and the first order derivative. The implemented digital filter has been tested using different ECG signals generated by a patient simulator. Finally, this paper shows a positive performance of the implemented filter in tests related to R wave detection even in the presence of unwanted noise components.
机译:心电图信号(ECG)反映人心脏的电行为。 ECG信号由不同的波形组成:P,Q,R,S和T。R波通常是在ECG上最容易识别的波形。 R波也是振幅最高的分量,其检测可以估算心率。本文致力于介绍在称为Arduino的开放硬件平台上实现的数字滤波器的设计,以检测ECG信号的R波。滤波器设计基于平滑滤波器和一阶导数的集成。已使用患者模拟器生成的不同ECG信号对实现的数字滤波器进行了测试。最后,本文显示了在与R波检测相关的测试中,即使存在有害噪声,该滤波器也具有良好的性能。

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