Evidence map›Paper›PMID 35432587›Full record

ArticleComputational and mathematical methods in medicine2022

The Effects of Different Reference Methods on Decision-Making Implications of Auditory Brainstem Response.

Zhenzhen Liu, Xin Wang, Mingxing Zhu, Yuchao He, Lin Li, Li Chen, Weimin Huang, Zhilong Wei, Shixiong Chen, Yan Chen and 1 more

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Zhenzhen LiuSurgery Division, Epilepsy Center, Shenzhen Children's Hospital, Shenzhen 518038, China.
Xin WangThe CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Mingxing ZhuThe CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Yuchao HeThe CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Lin LiSurgery Division, Epilepsy Center, Shenzhen Children's Hospital, Shenzhen 518038, China.
Li ChenDepartment of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China.
Weimin HuangDepartment of Neonatology, Shenzhen Children's Hospital, Shenzhen 518038, China.
Zhilong WeiThe CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Shixiong ChenThe CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID https://orcid.org/0000-0002-5868-6952
Yan ChenSurgery Division, Epilepsy Center, Shenzhen Children's Hospital, Shenzhen 518038, China.ORCID https://orcid.org/0000-0002-0527-4719
Guanglin LiThe CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID https://orcid.org/0000-0001-9016-2617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hearing loss is a common disease affecting public health all around the world. In clinic, auditory brainstem response (ABR) has been widely used for the detection of hearing loss based on its convenience and accuracy. The different reference methods directly influence the quality of the ABR waveform which in turn affects the ABR-based diagnosis. Therefore, in this study, a reference electrode standardization technique (REST) was adopted to systematically investigate and evaluate the effect of different reference methods on the quality of ABR waveform in comparison with the conventional average reference (AR) and mean mastoid (MM) methods. In this study, ABR signals induced by click stimulus were acquired via an EEG electrode cap arrays, and those located on the six channels along the midline were compared systemically. The results showed that, when considering the different channels, the ABR in the Cz channel showed the best morphology. Then, the ABR waveforms acquired via the REST method possessed better morphologies with large amplitude (0.06 ± 0.02

Indexed as

Evoked Potentials, Auditory, Brain StemHearing LossAcoustic StimulationAuditory ThresholdElectroencephalographyHumans

Identifiers

PMID35432587
PMCPMC9012648

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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.