A wireless IC for time-share chemical and electrical neural recording

Roham,; Garris,; Mohseni,

doi:10.1109/isscc.2009.4977492

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…The FSCV-sensing block can be turned off in between successive FSCV scans (when no dopamine recording is taking place) to reduce the power consumption of the sensing channel by 88% vs. our previous works [4], [7]. The design of the electrical stimulator with embedded timing management and FSCV-sensing circuitry as the two major building blocks of the SoC are described in more detail in the next section.…”

Section: System Architecturementioning

confidence: 99%

“…Given that the current signals involved typically contain low-frequency components (since extracellular dopamine levels vary on a timescale of subsecond to seconds in the brain), oversampling architectures that offer a tradeoff between conversion speed and resolution are among the ideal candidates for the front-end sensing circuitry [4], [5]. In particular, given the performance requirements dictated by FSCV for dopamine sensing, a 3rd-order design was previously found to offer a favorable tradeoff among clock frequency, power consumption and system complexity, as compared to lower-or higher-order designs [4], [6]. Fig.…”

Section: B Fscv-sensing Circuitrymentioning

confidence: 99%

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A Neurochemical Pattern Generator SoC With Switched-Electrode Management for Single-Chip Electrical Stimulation and 9.3 µW, 78 pA rms , 400 V/s FSCV Sensing

Bozorgzadeh

Covey

Howard

et al. 2014

IEEE J. Solid-State Circuits

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This paper describes a system-on-chip (SoC) fabricated in AMS 0.35 µm 2P/4M CMOS for high-fidelity neurochemical pattern generation in vivo. The SoC uniquely integrates electrical stimulation with embedded timing management for generation of neurochemical patterns and 400 V/s fast-scan cyclic voltammetry (FSCV) sensing for subsequent assessment of fidelity in the generated profiles, and manages a novel switched-electrode scheme that eliminates the possibility of large stimulus artifacts adversely affecting electrochemistry. The SoC also leverages the discontinuous sampling inherent in FSCV to reduce the sensing power consumption by 87.5% to 9.3 µW from 2.5 V using a duty-cycled, 3rd-order, continuous-time, ΔΣ modulator (CT-ΔΣM) with an inputreferred noise current of 78 pA rms (dc -5 kHz) within an input current range of ±950 nA. Utilizing a transfer function that relates electrical stimulation of dopamine axons traversing the medial forebrain bundle (MFB) to evoked extracellular dopamine dynamics in the dorsal striatum of the forebrain, the correlation coefficient between predicted and measured dopamine temporal profiles was found to be 0.95 in an anesthetized rat.

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Section: System Architecturementioning

confidence: 99%

Section: B Fscv-sensing Circuitrymentioning

confidence: 99%

A Neurochemical Pattern Generator SoC With Switched-Electrode Management for Single-Chip Electrical Stimulation and 9.3 µW, 78 pA rms , 400 V/s FSCV Sensing

Bozorgzadeh

Covey

Howard

et al. 2014

IEEE J. Solid-State Circuits

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“…To support cyclic voltammetry (CV), which is another sensory method to investigate biological samples [8], in the future design full scale voltage needs to be adjusted to higher values of ≈ ±1 V. Thus, by utilizing three switches as depicted in Fig. 2, the full scale (FS) current of the DAC and the feedback resistor of the I/V conversion are adjusted accordingly to support CV measurements.…”

Section: B Excitation Partmentioning

confidence: 99%

A 24-Ch. Multi-Electrode Array Allowing Fast EIS to Determine Transepithelial Electrical Resistance

Rajabzadeh

Ungethuem

Herkle

et al. 2019

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)

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Electrochemical Impedance Spectroscopy (EIS) is a standard method to investigate properties of biological samples due to its non-invasiveness. Multi-electrode arrays (MEA) perform parallel measurements, which lead to higher throughput and thus reduced measurement time. However, implementing a parallel MEA EIS needs considerations to achieve safe and fast measurements. Commercially available devices perform single EIS and then serially scan the MEA. Their limited frequency range and limited detection impedance can be further increased to support more application. This work presents a 24 channel MEA EIS system that has highly reduced measurement time in comparison to commercially available solutions by utilizing multitone excitation signals. The EIS system has been implemented on a two layer PCB and successfully tested with biological samples. It consumes 17.5 × 17.5 cm 2 and draws 300 mA from a 5 V supply voltage. The EIS measurement frequency range spans from 10 mHz to 100 kHz and can detect impedances from 6 Ω to 300 kΩ. The prototype measurements have been compared with the commercially available devices and showed matching better than 95%.

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“…For example, in retinal prosthesis, retinal cell stimulation is often adaptively controlled by monitoring the impedance value. In addition, for deep brain stimulation, such an implanted device is proposed that monitors the amount of dopamine emitted in a patient's brain, determines the optimum value of stimulation, and stimulates the deep brain before the onset of tremor is currently being developed [ 10 ]. This is a typical example of a closed-loop device.…”

Section: In Vivo Implantation Of Cmos Devicesmentioning

confidence: 99%