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On the Design of a Physiological Signal Feature Extraction and Segmentation Digital Subsystem

机译:关于生理信号特征提取与分割数字子系统的设计

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Real-time and compact algorithms are desired for wearable physiologic monitoring devices. We present a QRS waveform detection algorithm, inspired by the Stockwell time-frequency transform and targeted to embedded architectures. The proposed QRS detector uses a complex filter for feature extraction and efficient estimations to achieve minimal computations and limited digital hardware resources. The QRS detector algorithm is demonstrated to reduce the computational cost and maintain accuracy.
机译:可穿戴物理监测装置需要实时和紧凑的算法。我们提出了一种QRS波形检测算法,受到泳口时频变换的启发,并针对嵌入式架构。所提出的QRS探测器使用复杂过滤器进行特征提取和有效估计,以实现最小计算和有限的数字硬件资源。 QRS检测器算法经证据以降低计算成本并保持准确性。

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