10-channel very low noise ENG amplifier system using CMOS technology
ABSTRACT In this paper the design, fabrication and testing of a 10-channel array of identical amplifiers suitable for velocity selective electroneurogram (ENG) recording is described. The overall gain per channel is 10,000 and the total input-referred rms noise in a bandwidth 1 Hz-5 kHz is 290 nV per channel. The active area is 12 mm2 and the power consumption is 24 mW from ±2.5 V power supplies.
Conference Paper: Design Strategies for Multi-Channel Low-Noise Recording Systems.[Show abstract] [Hide abstract]
ABSTRACT: With the advance in technology simultaneous recording of bio-signals from a large number of recording sites has become possible using multi-channel low-noise recording systems. However, the design of such systems poses a challenge, as operation at low power, provision of high gain in the presence of input offset voltages and excellent noise performance are mandatory. This paper highlights design strategies for recording system optimization and compares the performance of actual system implementations with the best-case performance achievable in theory. Special consideration is given to the noise vs. power and offset-tolerance vs. noise trade-offInternational Symposium on Circuits and Systems (ISCAS 2007), 27-20 May 2007, New Orleans, Louisiana, USA; 01/2007
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ABSTRACT: Sensory information coming from natural sensors and being propagated on afferent nerve fibers could be used as feedback for a more efficient closed-loop control of a functional electrical stimulation system. In order to extract and separate these signals according to their nerve fascicule origins, we propose a new architecture of a multipolar cuff electrode and an optimized integrated acquisition circuit. Concerning the electrode, we propose a specific configuration using a large number of poles in order to both reject parasitic signals, such as electromyogram and provide a maximum of recording channels in order to help the signal localization inside the nerve. Moreover, specific low-level analog signal processing was designed to extract the expected low-amplitude signal from its noisy environment. This signal processing is implemented in an ASIC that has to be implanted close to the electrode to achieve the best signal-to-noise ratioNeural Engineering, 2007. CNE '07. 3rd International IEEE/EMBS Conference on; 06/2007
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ABSTRACT: Parallel recording of micro-scale signals using an integrated system approach has become feasible with recent advances in technology. Practical applications include the recording of neural-signals in a brain-computer interface or in prosthetic implants. In an integrated circuit implementation the restriction in size and available power pose considerable challenges, especially in implanted devices. Furthermore, the provision of both high gain and excellent noise performance in the presence of input offset voltages are mandatory. The presented tutorial highlights design strategies for recording system optimization and compares the performance of actual system implementations with the best-case performance achievable in theory. Special consideration is given to the noise vs. power and offset-tolerance vs. noise trade-offs. An application dependent design strategy is proposed.Analog Integrated Circuits and Signal Processing 01/2009; 58(2):123-133. · 0.55 Impact Factor