A 0.338cm&lt;formula&gt;
                     &lt;tex&gt;$^{3}$&lt;/tex&gt;
                  &lt;/formula&gt;, Artifact-Free, 64-Contact Neuromodulation Platform for Simultaneous Stimulation and Sensing

Rozgic, Dejan; Hokhikyan, Vahagn; Jiang, Wenlong; Akita, Ippei; Basir-Kazeruni, Sina; Chandrakumar, Hariprasad; Marković, Dejan

doi:10.1109/tbcas.2018.2889040

Cited by 35 publications

(33 citation statements)

References 31 publications

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“…Several active rectifier topologies are reported in [32], [35], [53]- [65] and the most basic topology of them includes two active diodes and two gate cross-coupled MOSFETs together with control circuitry and a self-body bias circuit(s). In reality, the delay time of the comparator and the gate-drive buffer limits the highest operating frequency and increases the reverse current of the rectifier, thereby compromising the output signal fidelity as well as the rectifier power conversion efficiency (PCE) and voltage conversion efficiency (VCE), especially at low input voltage (<1.5 V).…”

Section: B Active and Synchronous Rectificationmentioning

confidence: 99%

“…are used to compensate for the delay and to turn the power switches ON and OFF properly. A similar study by Rozgic et al introduced an adaptive, real-time ON/OFF calibration with three adaptive delay compensating comparators that was able to achieve 82%-91% PCE and 92% VCE [53]. In a conventional self-body bias circuit-based rectifier, the transistor parasitic capacitance may couple the AC signal from source to the body, bringing down the overall VCE and PCE.…”

Section: B Active and Synchronous Rectificationmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Review on Rectifiers, Linear Regulators, and Switched-Mode Power Processing Techniques for Biomedical Sensors and Implants Utilizing in-Body Energy Harvesting and External Power Delivery

Roy

Azad

Baidya

et al. 2021

IEEE Trans. Power Electron.

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Section: B Active and Synchronous Rectificationmentioning

confidence: 99%

Section: B Active and Synchronous Rectificationmentioning

confidence: 99%

A Comprehensive Review on Rectifiers, Linear Regulators, and Switched-Mode Power Processing Techniques for Biomedical Sensors and Implants Utilizing in-Body Energy Harvesting and External Power Delivery

Roy

Azad

Baidya

et al. 2021

IEEE Trans. Power Electron.

View full text Add to dashboard Cite

“…As far as the system dimensions are considered, miniaturized neural probes are accompanied by coils [ 24 ] and circuit boards [ 25 , 26 , 27 ] measuring up to several centimeters, which is still feasible as they are embedded in upper tissue layers. Consequently, implant coils and prototype circuits for concept evaluation shall be realized with a maximum edge length of 10 mm, i.e., they shall cover a maximum circuit board area of 100 mm

each.…”

Section: System Conceptmentioning

confidence: 99%

Very High Bit Rate Near-Field Communication with Low-Interference Coils and Digital Single-Bit Sampling Transceivers for Biomedical Sensor Systems

Stoecklin

Rosch

Yousaf

et al. 2020

Sensors

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The evolution of microelectronics increased the information acquired by today’s biomedical sensor systems to an extent where the capacity of low-power communication interfaces becomes one of the central bottlenecks. Hence, this paper mathematically analyzes and experimentally verifies novel coil and transceiver topologies for near-field communication interfaces, which simultaneously allow for high data transfer rates, low power consumption, and reduced interference to nearby wireless power transfer interfaces. Data coil design is focused on presenting two particular topologies which provide sufficient coupling between a reader and a wireless sensor system, but do not couple to an energy coil situated on the same substrate, severely reducing interference between wireless data and energy transfer interfaces. A novel transceiver design combines the approaches of a minimalistic analog front-end with a fully digital single-bit sampling demodulator, in which rectangular binary signals are processed by simple digital circuits instead of sinusoidal signals being conditioned by complex analog mixers and subsequent multi-bit analog-to-digital converters. The concepts are implemented using an analog interface in discrete circuit technology and a commercial low-power field-programmable gate array, yielding a transceiver which supports data rates of up to 6.78 MBit/s with an energy consumption of just 646 pJ/bit in transmitting mode and of 364 pJ/bit in receiving mode at a bit error rate of 2×10−7, being 10 times more energy efficient than any commercial NFC interface and fully implementable without any custom CMOS technology.

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“…Recent techniques to overcome artifact interferences have been reported in [11], [14], [16], [21]- [24]. In some cases, the dynamic range is significantly extended to cope with the unwanted artifacts and avoid the onset of saturation [11], [22], [24]. In others, mechanisms are provided aiming to cancel artifacts.…”

Section: Introductionmentioning

confidence: 99%

A 32-Channel Time-Multiplexed Artifact-Aware Neural Recording System

Perez-Prieto

Rodríguez-Vázquez

Álvarez‐Dolado

et al. 2021

IEEE Trans. Biomed. Circuits Syst.

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This paper presents a low-power, low-noise microsystem for the recording of neural local field potentials or intracranial electroencephalographic signals. It features 32 timemultiplexed channels at the electrode interface and offers the possibility to spatially delta encode data to take advantage of the large correlation of signals captured from nearby channels. The circuit also implements a mixed-signal voltage-triggered autoranging algorithm which allows to attenuate large interferers in digital domain while preserving neural information. This effectively increases the system dynamic range and avoids the onset of saturation. A prototype, fabricated in a standard 180 nm CMOS process, has been experimentally verified in-vitro with cellular cultures of primary cortical neurons from mice. The system shows an integrated input-referred noise in the 0.5-200 Hz band of 1.4 µVrms for a spot noise of about 85 nV/ √ Hz. The system draws 1.5 µW per channel from 1.2 V supply and obtains 71 dB + 26 dB dynamic range when the artifact-aware autoranging mechanism is enabled, without penalising other critical specifications such as crosstalk between channels or commonmode and power supply rejection ratios.

show abstract

A 0.338cm<formula> <tex>$^{3}$</tex> </formula>, Artifact-Free, 64-Contact Neuromodulation Platform for Simultaneous Stimulation and Sensing

Cited by 35 publications

References 31 publications

A Comprehensive Review on Rectifiers, Linear Regulators, and Switched-Mode Power Processing Techniques for Biomedical Sensors and Implants Utilizing in-Body Energy Harvesting and External Power Delivery

A Comprehensive Review on Rectifiers, Linear Regulators, and Switched-Mode Power Processing Techniques for Biomedical Sensors and Implants Utilizing in-Body Energy Harvesting and External Power Delivery

Very High Bit Rate Near-Field Communication with Low-Interference Coils and Digital Single-Bit Sampling Transceivers for Biomedical Sensor Systems

A 32-Channel Time-Multiplexed Artifact-Aware Neural Recording System

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