ECG QRS detection for BSN using 3M filtering technique

D. Hemapriya, J. Karpagam
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Abstract

The electrocardiogram (ECG) is one of the most useful diagnostic tests in emergency medicine. The ECG is affected by large noises such as impulsive noise caused by muscle contraction, power-line interference, baseline drift due to respiration, and motion artifacts. To avoid misinterpreting the ECG, a simple and accurate QRS detection algorithm based on morphology instead of frequency, for the BSN ECG devices is presented. The uniqueness of mathematical morphology is that it does not require any prior knowledge on the frequency spectrum of the signal under investigation. The two most fundamental operators in mathematical morphology are the dilation and erosion operators which are used to reduce the computational complexity. Low power consumption is essential for ECG sensor application in BSN we go for VLSI implementation.
利用3M滤波技术检测BSN的心电QRS
心电图(ECG)是急诊医学中最有用的诊断检查之一。心电图受大噪声的影响,如肌肉收缩引起的脉冲噪声、电力线干扰、呼吸引起的基线漂移和运动伪影。为了避免心电信号的误读,提出了一种基于形态学而非频率的简单准确的BSN心电信号QRS检测算法。数学形态学的独特之处在于它不需要对所研究的信号的频谱有任何先验知识。数学形态学中两个最基本的算子是膨胀算子和侵蚀算子,它们用于降低计算复杂度。低功耗对心电传感器在BSN中的应用至关重要,我们将在VLSI中实现。
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