Circuits techniques and microsystems assembly for intracortical multichannel ENG recording
暂无分享,去创建一个
[1] Rahul Sarpeshkar,et al. An Energy-Efficient Micropower Neural Recording Amplifier , 2007, IEEE Transactions on Biomedical Circuits and Systems.
[2] M. Sawan,et al. Adaptive detection of action potentials using ultra low-power CMOS circuits , 2008, 2008 IEEE Biomedical Circuits and Systems Conference.
[3] R.R. Harrison,et al. A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System , 2006, IEEE Journal of Solid-State Circuits.
[4] Mohamad Sawan,et al. A Mixed-Signal Multi-Chip Neural Recording Interface with Bandwidth Reduction , 2007, 2007 IEEE Biomedical Circuits and Systems Conference.
[5] Scott K. Arfin,et al. Low-Power Circuits for Brain-Machine Interfaces , 2007, 2007 IEEE International Symposium on Circuits and Systems.
[6] Amir M. Sodagar,et al. A Fully Integrated Mixed-Signal Neural Processor for Implantable Multichannel Cortical Recording , 2007, IEEE Transactions on Biomedical Engineering.
[7] M. Sawan,et al. An Ultra Low-Power CMOS Automatic Action Potential Detector , 2009, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[8] R. R. Harrison,et al. A low-power low-noise CMOS amplifier for neural recording applications , 2003, IEEE J. Solid State Circuits.
[9] Mohamad Sawan,et al. A Low-Power Integrated Bioamplifier With Active Low-Frequency Suppression , 2007, IEEE Transactions on Biomedical Circuits and Systems.
[10] Reid R. Harrison,et al. A low-power integrated circuit for adaptive detection of action potentials in noisy signals , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).
[11] Mohamad Sawan,et al. Event-driven data and power management in high-density neural recording microsystems , 2009, 2009 Joint IEEE North-East Workshop on Circuits and Systems and TAISA Conference.
[12] R. Olsson,et al. A three-dimensional neural recording microsystem with implantable data compression circuitry , 2005, ISSCC. 2005 IEEE International Digest of Technical Papers. Solid-State Circuits Conference, 2005..
[13] P.A. Abshire,et al. Real-time variance based template matching spike sorting system , 2007, 2007 IEEE/NIH Life Science Systems and Applications Workshop.
[14] Ran Ginosar,et al. An Integrated System for Multichannel Neuronal Recording With Spike/LFP Separation, Integrated A/D Conversion and Threshold Detection , 2007, IEEE Trans. Biomed. Eng..
[15] Mohamad Sawan,et al. A Mixed-Signal Multichip Neural Recording Interface With Bandwidth Reduction , 2009, IEEE Transactions on Biomedical Circuits and Systems.
[16] Youngsoo Shin,et al. Semicustom Design Methodology of Power Gated Circuits for Low Leakage Applications , 2007, IEEE Transactions on Circuits and Systems II: Express Briefs.
[17] David Sander,et al. A low-power CMOS neural amplifier with amplitude measurements for spike sorting , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).
[18] P. Mohseni,et al. A 94-μW 10-b neural recording front-end for an implantable brain-machine-brain interface device , 2008, 2008 IEEE Biomedical Circuits and Systems Conference.
[19] Mohamed I. Elmasry,et al. Low-Power Digital VLSI Design: Circuits and Systems , 1995 .
[20] Berj L. Bardakjian,et al. Brain–Silicon Interface for High-Resolution in vitro Neural Recording , 2007, IEEE Transactions on Biomedical Circuits and Systems.
[21] John G. Harris,et al. A low-power analog spike detector for extracellular neural recordings , 2004, Proceedings of the 2004 11th IEEE International Conference on Electronics, Circuits and Systems, 2004. ICECS 2004..
[22] Esther Rodríguez-Villegas,et al. A Nanopower Bandpass Filter for Detection of an Acoustic Signal in a Wearable Breathing Detector , 2007, IEEE Transactions on Biomedical Circuits and Systems.
[23] Mohamad Sawan,et al. Low-power linear-phase delay filters for neural signal processing: Comparison and synthesis , 2009, 2009 IEEE International Symposium on Circuits and Systems.