Low-noise ASIC and New Layout of Multipolar Electrode for both High ENG Selectivity and Parasitic Signal Rejection

In order to extract and separate Action Potential (AP) signals according to their nerve fascicule origins, we propose a new architecture of a multipolar cuff electrode and an optimized integrated acquisition circuit. The proposed electrode has a specific layout of a large number of poles in order to both reject parasitic signals, such as electromyogram and provide a maximum of spatial selectivity for ENG signals. For one channel to be recorded, we need to consider seven recording sites. A low-noise integrated circuit (ASIC) has been designed in order to perform this first step of analog processing on each set of seven considered poles.

[1]  Johannes J. Struijk,et al.  Tripolar nerve cuff recording: stimulus artifact, EMG and the recorded nerve signal , 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

[2]  K. P. Koch,et al.  Multipolar Cuff Electrodes with Integrated Pre-amplifier & Filter to Interface Peripheral Nerves for FES Application. , 2005 .

[3]  Morten Kristian Haugland,et al.  Skin contact force information in sensory nerve signals recorded by implanted cuff electrodes , 1994 .

[4]  Lotte N. S. Andreasen Struijk,et al.  Signal strength versus cuff length in nerve cuff electrode recordings , 2002, IEEE Transactions on Biomedical Engineering.

[5]  R. Stein Nerve and Muscle: Membranes, Cells, and Systems , 1980 .

[6]  W. Jensen,et al.  Improving signal reliability for on-line joint angle estimation from nerve cuff recordings of muscle afferents , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[7]  Guy Cathébras,et al.  Interpretation of ENG signal for FES closed-loop control , 2006 .

[8]  Ronald Raymond Riso,et al.  Performance of alternative amplifier configurations for tripolar nerve cuff recorded ENG , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  A. Demosthenous,et al.  An adaptive ENG amplifier for tripolar cuff electrodes , 2005, IEEE Journal of Solid-State Circuits.

[10]  John Taylor,et al.  Improved spatial filtering of ENG signals using a multielectrode nerve cuff , 2000 .

[11]  D. Pal,et al.  Very Low-Noise ENG Amplifier System Using CMOS Technology , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[12]  N. Donaldson,et al.  Multiple-electrode nerve cuffs for low-velocity and velocity-selective neural recording , 2004, Medical and Biological Engineering and Computing.