Proceedings ArticleDOI
A 0.013mm 2 5μW DC-coupled neural signal acquisition IC with 0.5V supply
Rikky Muller,Simone Gambini,Jan M. Rabaey +2 more
- Vol. 47, Iss: 1, pp 302-304
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]read more
Citations
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Journal ArticleDOI
A 4 $\mu{\rm W}/{\rm Ch}$ Analog Front-End Module With Moderate Inversion and Power-Scalable Sampling Operation for 3-D Neural Microsystems
TL;DR: An analog front-end prototype designed for integration into 3-D neural recording microsystems, which has achieved a reduction in noise-power-area by a factor of 5–25 times as compared to the-state-of-the-art front-ends reported up to date.
Journal ArticleDOI
A 1.02 μW Battery-Less, Continuous Sensing and Post-Processing SiP for Wearable Applications
Christopher J. Lukas,Farah B. Yahya,Jacob Breiholz,Abhishek Roy,Xing Chen,Harsh N. Patel,Ningxi Liu,Avish Kosari,Shuo Li,Divya Akella Kamakshi,Oluseyi Ayorinde,David D. Wentzloff,Benton H. Calhoun +12 more
TL;DR: A wireless sensing heterogeneous system-in-package (SiP) containing an ultra-low power SoC, a non-volatile boot memory (NVM), and a 2.4 GHz frequency shift key (FSK) radio, all integrated with custom ULP interfaces.
Proceedings ArticleDOI
24.7 A 60nV/√Hz 15-channel digital active electrode system for portable biopotential signal acquisition
Jiawei Xu,Benjamin Busze,Hyejung Kim,Kofi A. A. Makinwa,Chris Van Hoof,Refet Firat Yazicioglu +5 more
TL;DR: Dry active electrodes (AE), i.e., the combination of dry electrodes with in situ amplification, are increasingly used for biopotential measurements in emerging healthcare and lifestyle applications and parameter mismatch between AEs limits the overall CMRR.
Proceedings ArticleDOI
28.7 A 0.00378mm 2 Scalable Neural Recording Front-End for Fully Immersible Neural Probes Based on a Two-Step Incremental Delta-Sigma Converter with Extended Counting and Hardware Reuse
Daniel Wendler,Daniel De Dorigo,Mohammad Amayreh,Alexander Bleitner,Maximilian Marx,Yiannos Manoli +5 more
TL;DR: In this paper, a modular neural-recording front-end architecture is proposed for fully immersible subcortical probes, which reduces both the area and power per channel while avoiding tissue overheating due to increased power density.
Proceedings ArticleDOI
27.1 A 2.8µW 80mV pp -linear-input-range 1.6GΩ-input impedance bio-signal chopper amplifier tolerant to common-mode interference up to 650mV pp
TL;DR: This work presents a neural recording chopper amplifier that can tolerate 80mV pp DM and 650mV CM artifacts in a signal band of 1Hz to 5kHz and addresses power and noise.
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
Reid R. Harrison,P.T. Watkins,R.J. Kier,R.O. Lovejoy,D. Black,Richard A. Normann,Florian Solzbacher +6 more
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
Michiel Steyaert,Willy Sansen +1 more
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
J.N.Y. Aziz,Karim Abdelhalim,R. Shulyzki,Roman Genov,Berj L. Bardakjian,M. Derchansky,Demitre Serletis,Peter L. Carlen +7 more
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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