期刊文献+

Low-power digital ASIC for on-chip spectral analysis of low-frequency physiological signals 被引量:1

Low-power digital ASIC for on-chip spectral analysis of low-frequency physiological signals
原文传递
导出
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. 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.
出处 《Journal of Semiconductors》 EI CAS CSCD 2012年第6期67-70,共4页 半导体学报(英文版)
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
关键词 low-power processing-on-node spectral analysis low-power processing-on-node spectral analysis
  • 相关文献

参考文献8

  • 1Kim H, Jun H. Bio-medical CMOS ICs. New York: Springer, 2010.
  • 2] Mai S P, Zhang C, Chao J, et al. A new cochlear prosthetic sys- tem with an implanted DSP. Journal of Semiconductors, 2008, 29(9):1745.
  • 3zhang J Y, Nie Z D, Huang J, et al. Towards low frequency low noise low power body sensor network-on-chip. International Conference on Green Circuits and Systems (ICGCS), 2010:115.
  • 4Goldberger A L, Amaral L A N, Glass L, et al. Physiobank, phys- iotoolkit, and physioNet: components of a new research resource for complex physiologic signals. Circulation, 2000, 101(23): e215.
  • 5Sridhara S R, DiRenzo M, Lingam S, et al. Microwatt embed- ded processor platform for medical system-on-chip applications. IEEE J Solid-State Circuits, 2011, 46(4): 721.
  • 6Wu G, Ying L. A register array based low power FFT proces- sor for speech recognition. Journal of Information Science and Engineering, 2008, 24:981.
  • 7Lin Y W, Liu H Y, Lee C Y. A dynamic scaling FFT processor for DVB-T applications. IEEE J Solid-State Circuits, 2004, 39: 2005.
  • 8Chen C M, Hung C C, Huang Y H. An energy-efficient par- tial FFT processor for the OFDMA communication system. EEE Trans Circuits Syst II: Express Briefs, 2010, 57:136.

同被引文献11

  • 1Murthy V K,Grove T M,Harvey G A,Haywood L J.Clinical usefulness of ECG frequency spectrum analysis. Computer application in medical care 1978 Proceedings . 1978
  • 2R. Sudirman,N. A. Zakaria,M.N.Jamaluddin,M.R.Mohamed,K.N.Khalid.Study of Electromagnetic Interference to ECG using Faraday Shield. 2009 Third Asia International Conference on Modelling & Simulation . 2009
  • 3Y. D. Lin,Y. H. Hu.Power-line interference detection and suppression in ECG signal processing. IEEE Transactions on Biomedical Engineering . 2008
  • 4Bonneau G,Bertrand M,Guardo R,et al.A preprocessor for online data reduction in accelerated playback of ECG’’s. IEEE Transactions on Biomedical Engineering . 1983
  • 5Adli,Yamamoto Y,Nakamura T,et al.Automatic interference controller device for eliminating the power-line interference in biopotential signals. Proceedings of the 17th IEEE Instrumentation and Measurements Technology Conference . 2000
  • 6Dhillon S S,Dr Chakrabarti S.Power line interference removal from electrocardiogram using a simplified lattice based adaptiveIIR notch filter. Proceedings of the 23rd Annual EMBS International Conference . 2001
  • 7Bahoura M,Ezzaidi H.FPGA-Implementation of Waveletbased Denoising Technique to Remove Power-Line Interference from ECG Signal. 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB) . 2010
  • 8Lin B S,Lee W C,Chong F C,et al.Removing residual powerline interference using WHT adaptive filter. Proceedings of the Second Joint EMESBMES Conference . 2006
  • 9Bai Y W,Chu W Y,Chen C Y,et al.Adjustable 60Hz Noise Reduction by a Notch Filter for ECG Signals. InStnimrntiltion and Measurement elechnology Conference (IMTC) . 2004
  • 10Diaz J,Escalona O,Glover B M,et al.Use of Frequency Analysis on the ECG for the Prognosis of Low Energy Cardioversion Treatment of Atrial Fibrillation. 31st Annual International Conference of the IEEE EMBS . 2009

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部