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Low-power digital ASIC for on-chip spectral analysis of low-frequency physiological signals
  • 期刊名称：Journal of Semiconductors
  • 时间：2012.6.6
  • 页码：-
  • 分类：TN911.6[电子电信—通信与信息系统;电子电信—信息与通信工程] TP274.2[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构：[1]Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China, [2]Graduate University of the Chinese Academy of Sciences, Beijing 100049, China
  • 相关基金：supported by the National Natural Science Foundation of China（Nos.60932001,61072031）; the Guangdong Innovation Research Team Fund for Low-Cost Healthcare Technologies; the National Basic Research Program of China（No.20 I0CB732606）; the ＇One-hundred Talent＇ and the ＇Low-Cost Healthcare＇ Programs of the Chinese Academy of Sciences
  • 相关项目：泛在式生理参数提取方法及其在呼吸反馈中应用的研究
作者： Zedong Nie|Tengfei Leng|Wenchen Wang|Feng Guan|Lei Wang|
关键词： 频谱分析, 生理信号, 专用集成电路, 低功耗, 低频, ASIC芯片, ARM7TDMI, 快速傅立叶变换, low-power processing-on-node spectral analysis
中文摘要：

<正>A digital ASIC chip customized for battery-operated body sensing devices is presented.The ASIC incorporates a novel hybrid-architecture fast Fourier transform(FFT) unit that is capable of scalable spectral analysis,a licensed ARM7TDMI IP hardcore and several peripheral IP blocks.Extensive experimental results suggest that the complete chip works as intended.The power consumption of the FFT unit is 0.69 mW @ 1 MHz with 1.8 V power supply.The low-power and programmable features of the ASIC make it suitable for’on-the-fly’ low-frequency physiological signal processing.

英文摘要：

A digital ASIC chip customized for battery-operated body sensing devices is presented.The ASIC incorporates a novel hybrid-architecture fast Fourier transform（FFT） unit that is capable of scalable spectral analysis,a licensed ARM7TDMI IP hardcore and several peripheral IP blocks.Extensive experimental results suggest that the complete chip works as intended.The power consumption of the FFT unit is 0.69 mW @ 1 MHz with 1.8 V power supply.The low-power and programmable features of the ASIC make it suitable for＇on-the-fly＇ low-frequency physiological signal processing.

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