Modeling and Analysis of Environmental Electromagnetic Interference in Multiple-Channel Neural Recording Systems for High Common-Mode Interference Rejection Performance.

Gang Wang, Changhua You, Chengcong Feng, Wenliang Yao, Zhengtuo Zhao, Ning Xue, Lei Yao

Abstract read

In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

High-Sensitivity AlGaN/GaN HFET Implantable Neural Probe Without Gate Control Enabled by Photoelectrochemical Etching.Micromachines · 2026
Article

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gang WangSchool of Microelectronics, Shanghai University, Shanghai 200444, China.ORCID 0009-0008-0285-3046

Changhua YouState Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0001-8491-2303

Chengcong FengInstitute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.ORCID 0009-0001-5948-5722

Wenliang YaoShanghai Mtrix Technology Co., Ltd., Shanghai 200031, China.

Zhengtuo ZhaoInstitute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.

Ning XueLingang Laboratory, Shanghai 200031, China.

Lei YaoLingang Laboratory, Shanghai 200031, China.

Funding

National Key R&D Program of China 2021YFB3200600Shanghai Municipal Science and Technology Major Project 2021SHZDZX

6 · The paper itself

Abstract

Environmental electromagnetic interference (EMI) has always been a major interference source for multiple-channel neural recording systems, and little theoretical work has been attempted to address it. In this paper, equivalent circuit models are proposed to model both electromagnetic interference sources and neural signals in such systems, and analysis has been performed to generate the design guidelines for neural probes and the subsequent recording circuit towards higher common-mode interference (CMI) rejection performance while maintaining the recorded neural action potential (AP) signal quality. In vivo animal experiments with a configurable 32-channel neural recording system are carried out to validate the proposed models and design guidelines. The results show the power spectral density (PSD) of environmental 50 Hz EMI interference is reduced by three orders from 4.43 × 10

Indexed as

Action PotentialsAnimalsElectromagnetic FieldsElectromagnetic PhenomenaModels, TheoreticalNeuronselectromagnetic interference (EMI)equivalent circuit modelmultiple-channelneural recording system

Identifiers

PMID39056619

DOI10.3390/bios14070343

PMCPMC11275126

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.