24.1 A miniaturized 64-channel 225&amp;#x03BC;W wireless electrocorticographic neural sensor

Muller, Rikky; Le, Hanh-Phuc; Wen, Li; Ledochowitsch, Peter; Gambini, Simone; Björninen, Toni; Koralek, Aaron C.; Carmena, Jose M.; Maharbiz, Michel M.; Alon, Elad; Rabaey, Jan M.

doi:10.1109/isscc.2014.6757492

Cited by 29 publications

(16 citation statements)

References 8 publications

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“…These bands reflect anatomical and functional characteristics of cortical and subcortical networks and their interactions, and they are correlated with a variety of cognitive processes and behaviors. Starting with the lowest frequency, researchers have distinguished the following bands: (1-4 Hz), (4)(5)(6)(7)(8), (8)(9)(10)(11)(12)(13), (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), , and high-( 60 Hz). These rhythms have been tied to cortical activity during language production and understanding [17], [18], vision [19], movement [20], and movement planning [21], among others.…”

Section: A the Nature Of Ecog Signalsmentioning

confidence: 99%

“…A 15% reduction in noise results in a 27% reduction in power because of the quadratic relationship between noise and bias current. More importantly, ECoG research is beginning to look at higher bandwidths (e.g., 500 Hz-1 kHz) [8], and at 500 Hz the required thermal noise floor is 45…”

Section: A Determining Requirements For Snrmentioning

confidence: 99%

“…As a result of these requirements, there is a need for high-density wireless ECoG recording sensor systems. Accordingly, there has been significant research effort into this problem in recent years [3]- [8].…”

Section: Introductionmentioning

confidence: 99%

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Exploiting Electrocorticographic Spectral Characteristics for Optimized Signal Chain Design: A 1.08 W Analog Front End With Reduced ADC Resolution Requirements<formula formulatype="inline"> <tex Notation="TeX"/> </formula>

Smith

Mogen

Fetz

et al. 2016

IEEE Trans. Biomed. Circuits Syst.

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Electrocorticography (ECoG) is an important area of research for Brain-Computer Interface (BCI) development. ECoG, along with some other biopotentials, has spectral characteristics that can be exploited for more optimal front-end performance than is achievable with conventional techniques. This paper optimizes noise performance of such a system and discusses an equalization technique that reduces the analog-to-digital converter (ADC) dynamic range requirements and eliminates the need for a variable gain amplifier (VGA). We demonstrate a fabricated prototype in 1p9m 65 nm CMOS that takes advantage of the presented findings to achieve high-fidelity, full-spectrum ECoG recording. It requires 1.08 μW over a 150 Hz bandwidth for the entire analog front end and only 7 bits of ADC resolution.

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Section: A the Nature Of Ecog Signalsmentioning

confidence: 99%

Section: A Determining Requirements For Snrmentioning

confidence: 99%

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Exploiting Electrocorticographic Spectral Characteristics for Optimized Signal Chain Design: A 1.08 W Analog Front End With Reduced ADC Resolution Requirements<formula formulatype="inline"> <tex Notation="TeX"/> </formula>

Smith

Mogen

Fetz

et al. 2016

IEEE Trans. Biomed. Circuits Syst.

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“…Also, to safely implant these small UCNPs (~ 20 nm in diameter), we need to encapsulate them in a biocompatible polymer. We chose Parylene C as the encapsulating medium since it is biocompatible, can be conformally deposited using a CVD method, and can be micro patterned using our previously established fabrication process [6], [7].…”

Section: B Microfabrication Of Tetherless Micro Light Bulbsmentioning

confidence: 99%

Deep tissue targeted near-infrared optogenetic stimulation using fully implantable upconverting light bulbs

Chamanzar

Garfield

Iafrati

et al. 2015

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Abstract-We demonstrate for the first time, the possibility of targeted optogenetic stimulation of neurons deep into brain tissue (>2 mm) in a minimally-invasive way by sending nearinfrared light through tissue to excite passive lanthanide-doped blue-emitting upconverting nanocrystals (UCNPs) encapsulated in Parylene C microstructure light bulbs that emit visible (blue) light and locally excite opsins with high spatial resolution.

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“…Borna et al developed a 9-channel wireless neural recording system, weighing 2.2 g including batteries [13]. Finally, Muller et al also developed inductively-powered 64-channel 225 μW wireless electrocorticographic (ECoG) sensing system [14]. In terms of wireless powering, Cong et al developed an implantable blood pressure sensing microsystem with adaptive RF powering, and demonstrated it in mice [15].…”

Section: Introductionmentioning

confidence: 99%

An Inductively-Powered Wireless Neural Recording System With a Charge Sampling Analog Front-End

Lee

Kiani

et al. 2016

IEEE Sensors J.

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An inductively-powered wireless integrated neural recording system (WINeR-7) is presented for wireless and battery less neural recording from freely-behaving animal subjects inside a wirelessly-powered standard homecage. The WINeR-7 system employs a novel wide-swing dual slope charge sampling (DSCS) analog front-end (AFE) architecture, which performs amplification, filtering, sampling, and analog-to-time conversion (ATC) with minimal interference and small amount of power. The output of the DSCS-AFE produces a pseudo-digital pulse width modulated (PWM) signal. A circular shift register (CSR) time division multiplexes (TDM) the PWM pulses to create a TDM-PWM signal, which is fed into an on-chip 915 MHz transmitter (Tx). The AFE and Tx are supplied at 1.8 V and 4.2 V, respectively, by a power management block, which includes a high efficiency active rectifier and automatic resonance tuning (ART), operating at 13.56 MHz. The 8-ch system-on-a-chip (SoC) was fabricated in a 0.35-μm CMOS process, occupying 5.0 × 2.5 mm2 and consumed 51.4 mW. For each channel, the sampling rate is 21.48 kHz and the power consumption is 19.3 μW. In vivo experiments were conducted on freely behaving rats in an energized homecage by continuously delivering 51.4 mW to the WINeR-7 system in a closed-loop fashion and recording local field potentials (LFP).

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24.1 A miniaturized 64-channel 225μW wireless electrocorticographic neural sensor

Cited by 29 publications

References 8 publications

Exploiting Electrocorticographic Spectral Characteristics for Optimized Signal Chain Design: A 1.08 W Analog Front End With Reduced ADC Resolution Requirements<formula formulatype="inline"> <tex Notation="TeX"/> </formula>

Exploiting Electrocorticographic Spectral Characteristics for Optimized Signal Chain Design: A 1.08 W Analog Front End With Reduced ADC Resolution Requirements<formula formulatype="inline"> <tex Notation="TeX"/> </formula>

Deep tissue targeted near-infrared optogenetic stimulation using fully implantable upconverting light bulbs

An Inductively-Powered Wireless Neural Recording System With a Charge Sampling Analog Front-End

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