Revealing neuronal function through microelectrode array recordings

MEJ Obien, K Deligkaris, T Bullmann… - Frontiers in …, 2015‏ - frontiersin.org
Microelectrode arrays and microprobes have been widely utilized to measure neuronal
activity, both in vitro and in vivo. The key advantage is the capability to record and stimulate …

State-of-the-art MEMS and microsystem tools for brain research

JP Seymour, F Wu, KD Wise, E Yoon - Microsystems & …, 2017‏ - nature.com
Map** brain activity has received growing worldwide interest because it is expected to
improve disease treatment and allow for the development of important neuromorphic …

Introduction to the special section: convergence of automation technology, biomedical engineering, and health informatics toward the healthcare 4.0

Z Pang, G Yang, R Khedri… - IEEE reviews in …, 2018‏ - ieeexplore.ieee.org
Industry 4.0 is spilling out from manufacturing to healthcare. In this article, we provide a brief
history and key enabling technologies of Industry 4.0, and its revolution in healthcare …

A 1024-channel CMOS microelectrode array with 26,400 electrodes for recording and stimulation of electrogenic cells in vitro

M Ballini, J Müller, P Livi, Y Chen, U Frey… - IEEE journal of solid …, 2014‏ - ieeexplore.ieee.org
To advance our understanding of the functioning of neuronal ensembles, systems are
needed to enable simultaneous recording from a large number of individual neurons at high …

A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces

SR Nason, AK Vaskov, MS Willsey, EJ Welle… - Nature biomedical …, 2020‏ - nature.com
The large power requirement of current brain–machine interfaces is a major hindrance to
their clinical translation. In basic behavioural tasks, the downsampled magnitude of the 300 …

Active electrodes for wearable EEG acquisition: Review and electronics design methodology

J Xu, S Mitra, C Van Hoof, RF Yazicioglu… - IEEE reviews in …, 2017‏ - ieeexplore.ieee.org
Active electrodes (AEs), ie, electrodes with built-in readout circuitry, are increasingly being
implemented in wearable healthcare and lifestyle applications due to AEs' robustness to …

A power-efficient wireless system with adaptive supply control for deep brain stimulation

HM Lee, H Park, M Ghovanloo - IEEE journal of solid-state …, 2013‏ - ieeexplore.ieee.org
A power-efficient wireless stimulating system for a head-mounted deep brain stimulator
(DBS) is presented. A new adaptive rectifier generates a variable DC supply voltage from a …

Analysis of power consumption and linearity in capacitive digital-to-analog converters used in successive approximation ADCs

M Saberi, R Lotfi, K Mafinezhad… - IEEE Transactions on …, 2011‏ - ieeexplore.ieee.org
Successive-approximation analog-to-digital converters (SA-ADCs) are widely used in ultra-
low-power applications. In this paper, the power consumption and the linearity of capacitive …

A 0.45 V 100-Channel Neural-Recording IC With Sub-/Channel Consumption in 0.18 CMOS

D Han, Y Zheng, R Rajkumar… - IEEE transactions on …, 2013‏ - ieeexplore.ieee.org
Neural prosthetics and personal healthcare have increasing need of high channel density
low noise low power neural sensor interfaces. The input referred noise and quantization …

HermesE: A 96-Channel Full Data Rate Direct Neural Interface in 0.13 m CMOS

H Gao, RM Walker, P Nuyujukian… - IEEE Journal of Solid …, 2012‏ - ieeexplore.ieee.org
A power and area efficient sensor interface consumes 6.4 mW from 1.2 V while occupying 5
mm× 5 mm in 0.13 μm CMOS. The interface offers simultaneous access to 96 channels of …