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A compact chopper stabilized Δ-ΔΣ neural readout IC with input impedance boosting

A compact chopper stabilized Δ-ΔΣ neural readout IC with input impedance boosting
A compact chopper stabilized Δ-ΔΣ neural readout IC with input impedance boosting
This paper presents a scalable neural recording analog front-end architecture enabling simultaneous acquisition of action potentials, local field potentials, electrode DC offsets and stimulation artifacts without saturation. By combining a DC-coupled - architecture with new bootstrapping and chopping schemes, the proposed readout IC achieves an area of 0.0077 mm2 per channel, an input-referred noise of 5.53 ± 0.36 µVrms in the action potential band and 2.88 ± 0.18 µVrms in the local field potential band, a dynamic range of 77 dB, an electrode-DC-offset tolerance of ±70 mV and an input impedance of 663 M. To validate this neural readout architecture, we fabricated a 16-channel proof of-concept IC and validated it in an in vitro setting, demonstrating the capability to record extracellular signals even when using small, high-impedance electrodes. Because of the small area achieved, this architecture can be used to implement ultra-high-density neural probes for large-scale electrophysiology
2644-1349
Wang, Shiwei
97433cb6-7752-4c68-89f8-933f233d8642
Ballini, Marco
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Yang, Xiaolin
2ef568bb-2b83-4b4f-aa5c-488855fca2b2
Sawigun, Chutham
c00fdbab-2b5d-4419-842c-616173a6c168
Weijers, Jan-Willem
67674143-0bb7-4fd5-9654-6e297ba56641
Biswas, Dwaipayan
e22da6d8-e707-4c4a-8b07-85f15d5ee983
Van Helleputte, Nick
bad8e4b6-6d24-440f-97c3-e1ddeda371f1
Lopez, Carolina Mora
b7db9e25-fd8b-4d0e-8e91-2e201640a1eb
Wang, Shiwei
97433cb6-7752-4c68-89f8-933f233d8642
Ballini, Marco
5ce563dd-6818-4688-b799-1df93ccf5df1
Yang, Xiaolin
2ef568bb-2b83-4b4f-aa5c-488855fca2b2
Sawigun, Chutham
c00fdbab-2b5d-4419-842c-616173a6c168
Weijers, Jan-Willem
67674143-0bb7-4fd5-9654-6e297ba56641
Biswas, Dwaipayan
e22da6d8-e707-4c4a-8b07-85f15d5ee983
Van Helleputte, Nick
bad8e4b6-6d24-440f-97c3-e1ddeda371f1
Lopez, Carolina Mora
b7db9e25-fd8b-4d0e-8e91-2e201640a1eb

Wang, Shiwei, Ballini, Marco, Yang, Xiaolin, Sawigun, Chutham, Weijers, Jan-Willem, Biswas, Dwaipayan, Van Helleputte, Nick and Lopez, Carolina Mora (2021) A compact chopper stabilized Δ-ΔΣ neural readout IC with input impedance boosting. IEEE Open Journal of the Solid-State Circuits Society (OJ-SSCS).

Record type: Article

Abstract

This paper presents a scalable neural recording analog front-end architecture enabling simultaneous acquisition of action potentials, local field potentials, electrode DC offsets and stimulation artifacts without saturation. By combining a DC-coupled - architecture with new bootstrapping and chopping schemes, the proposed readout IC achieves an area of 0.0077 mm2 per channel, an input-referred noise of 5.53 ± 0.36 µVrms in the action potential band and 2.88 ± 0.18 µVrms in the local field potential band, a dynamic range of 77 dB, an electrode-DC-offset tolerance of ±70 mV and an input impedance of 663 M. To validate this neural readout architecture, we fabricated a 16-channel proof of-concept IC and validated it in an in vitro setting, demonstrating the capability to record extracellular signals even when using small, high-impedance electrodes. Because of the small area achieved, this architecture can be used to implement ultra-high-density neural probes for large-scale electrophysiology

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OJSSC_Final - Accepted Manuscript
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More information

Accepted/In Press date: 14 September 2021
e-pub ahead of print date: 21 September 2021

Identifiers

Local EPrints ID: 451625
URI: http://eprints.soton.ac.uk/id/eprint/451625
ISSN: 2644-1349
PURE UUID: c4f28bb4-e38f-46ba-baaa-7c68c35e23d8
ORCID for Shiwei Wang: ORCID iD orcid.org/0000-0002-5450-2108

Catalogue record

Date deposited: 14 Oct 2021 16:33
Last modified: 15 Oct 2021 04:01

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Contributors

Author: Shiwei Wang ORCID iD
Author: Marco Ballini
Author: Xiaolin Yang
Author: Chutham Sawigun
Author: Jan-Willem Weijers
Author: Dwaipayan Biswas
Author: Nick Van Helleputte
Author: Carolina Mora Lopez

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