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Proceedings ArticleDOI

A 0.013mm 2 5μW DC-coupled neural signal acquisition IC with 0.5V supply

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TLDR
This work presents a neural interface in 65nm CMOS and operating at a 0.5V supply that obtains performance comparable or superior to state-of-the-art systems in a silicon area over 3× smaller by using a scalable architecture that avoids on-chip passives and takes advantage of high-density logic.
Abstract
Recent success in brain-machine interfaces has provided hope for patients with spinal-cord injuries, Parkinson's disease, and other debilitating neurological conditions [1], and has boosted interest in electronic recording of cortical signals State-of-the-art recording solutions [2–5] rely heavily on analog techniques at relatively high supply voltages to perform signal conditioning and filtering, leading to large silicon area and limited programmability We present a neural interface in 65nm CMOS and operating at a 05V supply that obtains performance comparable or superior to state-of-the-art systems in a silicon area over 3× smaller These results are achieved by using a scalable architecture that avoids on-chip passives and takes advantage of high-density logic The use of 65nm CMOS eases integration with low-power digital systems, while the low supply voltage makes the design more compatible with wireless powering schemes [6]

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Citations
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Journal ArticleDOI

A Low-Power Current-Reuse Analog Front-End for High-Density Neural Recording Implants

TL;DR: A new current-reuse analog front-end (AFE) which is scalable to very large numbers of recording channels, thanks to its small implementation silicon area and its low-power consumption, and successfully allows collecting low-amplitude extracellular action potential signals from a tungsten wire microelectrode implanted in the hippocampus of a laboratory mouse.
Journal ArticleDOI

An Ultralow-Power Low-Noise CMOS Biopotential Amplifier for Neural Recording

TL;DR: This brief presents a design strategy for a neural recording amplifier array with ultralow-power low-noise operation that is suitable for large-scale integration and combines a highly efficient but supply-sensitive single-ended first stage with a shared reference channel and a differential second stage to effect feedforward supply noise cancellation.
Journal ArticleDOI

An Ultra-High Input Impedance Analog Front End Using Self-Calibrated Positive Feedback

TL;DR: In order to boost input impedance, various on- and off-chip parasitic capacitances are cancelled using an active shield and negative capacitance technique and a self-calibration scheme with active shield replica is proposed for positive feedback-basednegative capacitance.
Journal ArticleDOI

A 1-V 0.25- $\mu \text{W}$ Inverter Stacking Amplifier With 1.07 Noise Efficiency Factor

TL;DR: By stacking inverters and splitting the capacitor feedback network, the proposed amplifier achieves 6-time current reuse, thereby significantly boosting gm and lowering noise but without increasing power.
Journal ArticleDOI

A 13.9-nA ECG Amplifier Achieving 0.86/0.99 NEF/PEF Using AC-Coupled OTA-Stacking

TL;DR: An ultra-low power electrocardiogram (ECG) recording front-end intended for implantable sensors is presented and the proposed technique involves upmodulated/chopped signals being applied to ac-coupled, stacked inverter-based OTAs that inherently sum the individual transconductances while reusing the same current, thereby enhancing the noise efficiency.
References
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Journal ArticleDOI

Brain–machine interfaces: past, present and future

TL;DR: This paper discusses designing a fully implantable biocompatible recording device, further developing real-time computational algorithms, introducing a method for providing the brain with sensory feedback from the actuators, and designing and building artificial prostheses that can be controlled directly by brain-derived signals.
Journal ArticleDOI

A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System

TL;DR: A prototype integrated circuit for wireless neural recording from a 100-channel microelectrode array was developed and a two-chip system was used to record neural signals from a Utah Electrode Array in cat cortex and transmit the digitized signals wirelessly to a receiver.
Journal ArticleDOI

A micropower low-noise monolithic instrumentation amplifier for medical purposes

TL;DR: A CMOS low-power low-noise monolithic instrumentation amplifier is described and it can produce variable gains of 14/20/26/40 dB, which are set by control software.
Journal ArticleDOI

An Energy-Efficient Micropower Neural Recording Amplifier

TL;DR: The amplifier appears to be the lowest power and most energy-efficient neural recording amplifier reported to date and the low-noise design techniques that help the neural amplifier achieve input-referred noise that is near the theoretical limit of any amplifier using a differential pair as an input stage.
Journal ArticleDOI

256-Channel Neural Recording and Delta Compression Microsystem With 3D Electrodes

TL;DR: Results of in vitro experimental recordings from intact mouse hippocampus validate the circuit design and the on-chip electrode bonding technology.
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