The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface

Shahrokhi, Farzaneh; Abdelhalim, Karim; Serletis, Demitre; Carlen, Peter L.; Genov, Roman

doi:10.1109/tbcas.2010.2041350

Cited by 245 publications

(117 citation statements)

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“…The switched matrix design also reduces the number of interconnects leading to the array itself from (row count × column count) to only slightly more than (row count+column count). But the selectable 179,183,188 and the active pixel architectures 184,189 , have important differences between them.…”

Section: High-density Active Recordingmentioning

confidence: 99%

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

et al. 2017

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Mapping brain activity has received growing worldwide interest because it is expected to improve disease treatment and allow for the development of important neuromorphic computational methods. MEMS and microsystems are expected to continue to offer new and exciting solutions to meet the need for high-density, high-fidelity neural interfaces. Herein, the state-of-the-art in recording and stimulation tools for brain research is reviewed, and some of the most significant technology trends shaping the field of neurotechnology are discussed.

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Section: High-density Active Recordingmentioning

confidence: 99%

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

et al. 2017

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“…However, AC-coupled inverting amplifiers with capacitive feedback [27] address both issues, thus being widely used in wearable and implantable medical instruments [28] [29]. An AE built with a capacitively coupled inverting amplifier [30] is shown in Fig.…”

Section: B Inverting Amplifiersmentioning

confidence: 99%

Active Electrodes for Wearable EEG Acquisition: Review and Electronics Design Methodology

Mitra

Hoof

et al. 2017

IEEE Rev. Biomed. Eng.

130

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Abstract-Active Electrodes (AE), i.e. electrodes with built-in readout circuitry, are increasingly being implemented in wearable healthcare and lifestyle applications due to AE's robustness to environmental interference. An AE locally amplifies and buffers µV-level EEG signals before driving any cabling. The low output impedance of an AE mitigates cable motion artifacts thus enabling the use of high-impedance dry electrodes for greater user comfort. However, developing a wearable EEG system, with medical grade signal quality on noise, electrode offset tolerance, common-mode rejection ratio (CMRR), input impedance and power dissipation, remains a challenging task. This paper reviews state-of-the-art bio-amplifier architectures and low-power analog circuits design techniques intended for wearable EEG acquisition, with a special focus on AE system interfaced with dry electrodes. Index Terms-Active electrode, instrumentation amplifier (IA), electroencephalography (EEG), dry electrodes, common-mode rejection ratio (CMRR), brain-computer interface (BCI)I. INTRODUCTION ecent advances in biomedical technologies, integrated circuits (ICs), sensors and data analysis techniques have accelerated the development of wearable technology for Telehealth applications. Today, miniature and low-power medical sensors can be easily integrated into various accessories that continuously sense, process and transfer people's physiological information during their daily life activities. By reducing the need for manual intervention and by lowering the cost, these medical devices are being widely used in personal healthcare and home diagnostics, such as wellness and health monitoring, home rehabilitation, and the early detection of brain disordersElectroencephalography (EEG)

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“…(2) In every electrochemical sensor, a potentiostat (3) is needed to maintain electrochemical stability in the sensor. In other words, the potentiostat is an indispensable device for electrochemical sensors.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Potentiostat with Standalone Signal Generator for Vanillylmandelic Acid Biosensors

2017

Sensors and Materials

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In this paper, a portable potentiostat with a standalone signal generator is proposed for the signal processing of vanillylmandelic acid (VMA) biosensors. The proposed potentiostat primarily consists of two microprocessors: one is used to design the programmable waveform generator, and the other is used to measure the current of the biosensors. It can perform general electrochemical analysis functions, such as cyclic voltammetry (CV), linear sweep voltammetry (LSV), differential pulse voltammetry (DPV), amperometry (IT), and potentiometry (E). In the experiment, we adopt a VMA biosensor to verify the performance of the proposed potentiostat. The experimental results show that the proposed potentiostat has the merits of good accuracy, larger range of detected sensor current, low cost, and high portability.

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The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface

Cited by 245 publications

References 50 publications

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

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

Active Electrodes for Wearable EEG Acquisition: Review and Electronics Design Methodology

Design and Implementation of Potentiostat with Standalone Signal Generator for Vanillylmandelic Acid Biosensors

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