A 4-Channel 0.23$mm^{2}$ Voltage-to-Time Converter AFE with $3.7\mu V_{rms}$ Noise and $480nW$ Galvanic Impulse Uplink

We present a 4-channel 15kS/s Voltage-to-Time Converter (VTC) analog front-end (AFE) with a 0.49<i>μW</i> impulse-based galvanic uplink for a peripheral nerve interface. Multiple, low-noise, high-data-rate channels are needed to sense compound action potentials and measure their conduction velocity as they propagate down a peripheral nerve. To achieve high energy efficiency for these constraints, the AFE encodes and transmits data with time-domain charge-balanced impulses through an implantable galvanic link. Each channel consists of an integrator with charge-based sampling and amplification for rapid multiplexing. A shared VTC encodes the amplitude-domain outputs of each integrator into differential time-domain impulses. Since the timing can be synchronized with stimulation, this AFE achieves instant artifact recovery after rail-to-rail stimulation events. We designed this AFE in a 180 nm CMOS process, and the simulation results show an SNDR of 60 dB and noise of 3.7<i>μVrms</i>. Thanks to the new galvanic uplink protocol, this front-end only consumes 11.28<i>μW</i> including wireless data transmission for four channels.

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Publication Details

Published
2024-08-11
DOI
https://doi.org/10.1109/mwscas60917.2024.10658812
Citations
1
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.27

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article

A 4-Channel 0.23$mm^{2}$ Voltage-to-Time Converter AFE with $3.7\mu V_{rms}$ Noise and $480nW$ Galvanic Impulse Uplink

Mehdi Bandali, Morgan Riley, Benjamin C. Johnson
1 citations
Neuroscience and Neural Engineering
0.27
article

A 4-Channel 0.23$mm^{2}$ Voltage-to-Time Converter AFE with $3.7\mu V_{rms}$ Noise and $480nW$ Galvanic Impulse Uplink

Mehdi Bandali, Morgan Riley, Benjamin C. Johnson
article en
1 citations

Abstract

We present a 4-channel 15kS/s Voltage-to-Time Converter (VTC) analog front-end (AFE) with a 0.49<i>μW</i> impulse-based galvanic uplink for a peripheral nerve interface. Multiple, low-noise, high-data-rate channels are needed to sense compound action potentials and measure their conduction velocity as they propagate down a peripheral nerve. To achieve high energy efficiency for these constraints, the AFE encodes and transmits data with time-domain charge-balanced impulses through an implantable galvanic link. Each channel consists of an integrator with charge-based sampling and amplification for rapid multiplexing. A shared VTC encodes the amplitude-domain outputs of each integrator into differential time-domain impulses. Since the timing can be synchronized with stimulation, this AFE achieves instant artifact recovery after rail-to-rail stimulation events. We designed this AFE in a 180 nm CMOS process, and the simulation results show an SNDR of 60 dB and noise of 3.7<i>μVrms</i>. Thanks to the new galvanic uplink protocol, this front-end only consumes 11.28<i>μW</i> including wireless data transmission for four channels.

Vol. 2024
Boise State University (US)
National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences
Affordable and clean energy
Openalex Percentile: Top 44%
Neuroscience and Neural Engineering
0.27
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