56-channel direct-coupled chopper-stabilized EEG monitoring ASIC with digitally-assisted offset correction at the folding nodes

Bagheri, Arezu; Salam, Muhammad Tariqus; Velázquez, José Luis Pérez; Genov, Roman

doi:10.1109/biocas.2014.6981812

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…Theoretically, this reduces the form factor and the power consumption of the IC. This topology is based on N structures with M channels per structure sharing a single ADC (N ADCs for the whole system) (Wattanapanitch and Sarpeshkar, 2011;Zou et al, 2013;Bagheri et al, 2014;Yeager et al, 2014;Liu et al, 2017). This approach has the same problems and advantages as the non-multiplexed AFE topology in terms of the AFE-electrode interface.…”

Section: Adc Sharing and Pga Sharing Afe Topologiesmentioning

confidence: 99%

Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays

Perez-Prieto

Delgado‐Restituto

2021

Front. Neurosci.

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Neuroscience research into how complex brain functions are implemented at an extra-cellular level requires in vivo neural recording interfaces, including microelectrodes and read-out circuitry, with increased observability and spatial resolution. The trend in neural recording interfaces toward employing high-channel-count probes or 2D microelectrodes arrays with densely spaced recording sites for recording large neuronal populations makes it harder to save on resources. The low-noise, low-power requirement specifications of the analog front-end usually requires large silicon occupation, making the problem even more challenging. One common approach to alleviating this consumption area burden relies on time-division multiplexing techniques in which read-out electronics are shared, either partially or totally, between channels while preserving the spatial and temporal resolution of the recordings. In this approach, shared elements have to operate over a shorter time slot per channel and active area is thus traded off against larger operating frequencies and signal bandwidths. As a result, power consumption is only mildly affected, although other performance metrics such as in-band noise or crosstalk may be degraded, particularly if the whole read-out circuit is multiplexed at the analog front-end input. In this article, we review the different implementation alternatives reported for time-division multiplexing neural recording systems, analyze their advantages and drawbacks, and suggest strategies for improving performance.

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Section: Adc Sharing and Pga Sharing Afe Topologiesmentioning

confidence: 99%

Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays

Perez-Prieto

Delgado‐Restituto

2021

Front. Neurosci.

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“…An inherently simple chopper stabilization technique is introduced to reduce the low-frequency noise of the amplifier without the need for the aforementioned circuit overhead [10], [11]. This design extends on an earlier preliminary report of the principle in [14], and offers a more detailed analysis of the design and additional experimental results characterizing the circuit implementation and in vivo performance.…”

mentioning

confidence: 93%

Low-Frequency Noise and Offset Rejection in DC-Coupled Neural Amplifiers: A Review and Digitally-Assisted Design Tutorial

Bagheri

Salam

Velázquez

et al. 2017

IEEE Trans. Biomed. Circuits Syst.

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We review integrated circuits for low-frequency noise and offset rejection as a motivation for the presented digitally-assisted neural amplifier design methodology. Conventional AC-coupled neural amplifiers inherently reject input DC offset but have key limitations in area, linearity, DC drift, and spectral accuracy. Their chopper stabilization reduces low-frequency intrinsic noise at the cost of degraded area, input impedance and design complexity. DC-coupled implementations with digital high-pass filtering yield improved area, linearity, drift, and spectral accuracy and are inherently suitable for simple chopper stabilization. As a design example, a 56-channel 0.13 [Formula: see text] CMOS intracranial EEG interface is presented. DC offset of up to ±50 mV is rejected by a digital low-pass filter and a 16-bit delta-sigma DAC feeding back into the folding node of a folded-cascode LNA with CMRR of 65 dB. A bank of seven column-parallel fully differential SAR ADCs with ENOB of 6.6 are shared among 56 channels resulting in 0.018 [Formula: see text] effective channel area. Compensation-free direct input chopping yields integrated input-referred noise of 4.2 μV over the bandwidth of 1 Hz to 1 kHz. The 8.7 [Formula: see text] chip dissipating 1.07 mW has been validated in vivo in online intracranial EEG monitoring in freely moving rats.

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“…Example of such systems are multichannel integrated circuits (IC) dedicated to sophisticated neurobiological experiments. These are mainly neural amplifiers and stimulators built of hundreds of active sites that allow user to record for instance Action Potentials (AP), Local Field Potentials (LFP) or even to stimulate electrically neural system cells [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

An universal test station for multichannel integrated neural amplifiers based on LabVIEW environment

Lisicka

Kmon

2016

ELECTROTECHNICAL REVIEW

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Modern technology allows for design of sophisticated measurement systems utilizing hundreds of independent recording channels. That imposes necessity of complex system functionality validation procedures development. The article describes an universal test system dedicated for tests of multichannel integrated circuits implemented in submicron technologies. Preliminary measurement results of a multichannel integrated circuit dedicated for advanced neurobiological experiments are also presented in the article. Streszczenie. Współczesne technologie umożliwiają budowę systemów składających się z setek niezależnych torów pomiarowych o rozbudowanej funkcjonalności. Nakłada to konieczność przeprowadzenia szeregu testów weryfikujących ich działanie. Artykuł prezentuje projekt uniwersalnego systemu testującego opracowanego na potrzeby projektowanych, w technologiach submikronowych, wielokanałowych układów scalonych. W artykule przedstawiono również wyniki wstępnych pomiarów układu przeznaczonego do złożonych eksperymentów neurobiologicznych. (Projekt uniwersalnego stanowiska do testów wielokanałowych scalonych wzmacniaczy sygnałów neurobiologicznych opartego o środowisko LabVIEW).

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56-channel direct-coupled chopper-stabilized EEG monitoring ASIC with digitally-assisted offset correction at the folding nodes

Cited by 6 publications

References 12 publications

Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays

Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays

Low-Frequency Noise and Offset Rejection in DC-Coupled Neural Amplifiers: A Review and Digitally-Assisted Design Tutorial

An universal test station for multichannel integrated neural amplifiers based on LabVIEW environment

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