Low-power SoC design and system implementation for medical applications

Yuhua Cheng, Hongming Chen
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引用次数: 1

Abstract

In this paper, some results on the low-power SoC design and system implementation for medical applications have been discussed. As some examples, a low power SoC based on an eight-bit CPU core widely used in lots of medical devices is introduced. Software programming includes the development in both SoC-side and PC-side software design. The results show duration of service for these medical devices are more than three years. Diagnosing Diseases through pulse waveforms and EEG signals by an automated system is the basic method to find the diseases and its related information about the human body. A new thresholding function based on SURE optimizing algorithm has been set for optimal threshold value by pulse waveform data. An approach of the combination of Fast ICA and wavelet packet transform algorithm is proposed to process the EEG signals. The Experimental results indicated that the proposed methods can effectively de-noise in pulse and EEG signals, respectively.
医疗应用的低功耗SoC设计与系统实现
本文讨论了医疗用低功耗SoC设计和系统实现方面的一些成果。作为一些例子,介绍了一种基于8位CPU内核的低功耗SoC,它广泛应用于许多医疗设备中。软件编程包括soc端软件开发和pc端软件设计。结果表明,这些医疗器械的使用年限超过3年。自动化系统通过脉冲波形和脑电图信号诊断疾病是发现人体疾病及其相关信息的基本方法。根据脉冲波形数据,提出了一种新的基于SURE优化算法的阈值函数。提出了一种快速独立分量分析与小波包变换相结合的脑电信号处理方法。实验结果表明,该方法能有效地对脉冲信号和脑电信号进行去噪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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