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Low-power low-noise ECG acquisition system with dsp for heart disease identification

机译:具有dsp的低功耗低噪声心电图采集系统,可用于心脏病识别

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In this paper, we implemented a low-power low-noise ECG acquisition system for heart disease identifications. The ECG signal is acquired with an analog front-end circuit, and the offset and baseline drift is eliminated at the same time. We also implemented a digital signal processing (DSP) unit to effectively remove EMG interferences. Interception of ST segment is proposed to achieve the identification of heart diseases. The ECG front-end chip has been designed and fabricated by using a TSMC 90nm CMOS technology, the total power consumption was measured at 40.3µW. DSP algorithms are carried out in the FPGA. Experimental results show that the sensitivity and specificity of ST segment classification after EMG elimination is 96.6% and 93.1%, respectively.
机译:在本文中,我们实施了一种用于心脏疾病识别的低功耗低噪声心电图采集系统。使用模拟前端电路采集ECG信号,并同时消除偏移和基线漂移。我们还实现了数字信号处理(DSP)单元,以有效消除EMG干扰。提议对ST段进行拦截以实现心脏病的识别。 ECG前端芯片是采用台积电90nm CMOS技术设计和制造的,总功耗为40.3µW。 DSP算法在FPGA中执行。实验结果表明,EMG消除后ST段分类的敏感性和特异性分别为96.6%和93.1%。

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