Micropower Monolithic Data-acquisition System

Sansen,; Steyaert,; Halonen,

doi:10.1109/isscc.1988.663716

Cited by 6 publications

(1 citation statement)

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“…All the other topologies and the following examples have a gain of almost zero at dc. The lowpass filter may be a transconductance amplifier driving a capacitor (Jochum and Wolf 2006) or an operational amplifier integrator (Sansen et al 1988, Sacristan and Oses 2002, Gosselin et al 2007a. Subtraction of a low-pass-filtered signal is conceptually identical to various offset-cancelling techniques such as autozeroing (Chan et al 2007), correlated double sampling (Aziz et al 2007b) The resistance elements in figure 9 fall into five categories: resistors, strongly conducting transistors, weakly conducting transistors, non-conducting devices and transconductance amplifiers.…”

Section: High-pass Filter Techniquesmentioning

confidence: 99%

Integrated circuit amplifiers for multi-electrode intracortical recording

2009

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Significant progress has been made in systems that interpret the electrical signals of the brain in order to control an actuator. One version of these systems senses neuronal extracellular action potentials with an array of up to 100 miniature probes inserted into the cortex. The impedance of each probe is high, so environmental electrical noise is readily coupled to the neuronal signal. To minimize this noise, an amplifier is placed close to each probe. Thus, the need has arisen for many amplifiers to be placed near the cortex. Commercially available integrated circuits do not satisfy the area, power and noise requirements of this application, so researchers have designed custom integrated-circuit amplifiers. This paper presents a comprehensive survey of the neural amplifiers described in publications prior to 2008. Methods to achieve high input impedance, low noise and a large time-constant high-pass filter are reviewed. A tutorial on the biological, electrochemical, mechanical and electromagnetic phenomena that influence amplifier design is provided. Areas for additional research, including sub-nanoampere electrolysis and chronic cortical heating, are discussed. Unresolved design concerns, including teraohm circuitry, electrical overstress and component failure, are identified.

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Section: High-pass Filter Techniquesmentioning

confidence: 99%

Integrated circuit amplifiers for multi-electrode intracortical recording

2009

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Design strategies for multi-channel low-noise recording systems

Rieger

Taylor

2008

Analog Integr Circ Sig Process

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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.

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Low-power monolithic signal-conditioning system

Steyaert

Sansen

1990

IEEE J. Solid-State Circuits

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Micropower Monolithic Data-acquisition System

Cited by 6 publications

References 1 publication

Integrated circuit amplifiers for multi-electrode intracortical recording

Integrated circuit amplifiers for multi-electrode intracortical recording

Design strategies for multi-channel low-noise recording systems

Low-power monolithic signal-conditioning system

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