Evidence map›Paper›PMID 34577313›Full record

ReviewSensors (Basel, Switzerland)2021

Wearable, Integrated EEG-fNIRS Technologies: A Review.

Julie Uchitel, Ernesto E Vidal-Rosas, Robert J Cooper, Hubin Zhao

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Simultaneous Mental Fatigue and Mental Workload Assessment With Wearable High-Density Diffuse Optical Tomography.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
4 · The record

Corrections and comments

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

4 authors.

Julie UchitelDOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.ORCID 0000-0003-4568-5421
Ernesto E Vidal-RosasDOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
Robert J CooperDOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
Hubin ZhaoDOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.ORCID 0000-0001-9408-4724

Funding

Engineering and Physical Sciences Research Council EP/N025946/1
6 · The paper itself

Abstract

There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function. EEG-fNIRS can provide a comprehensive picture of brain electrical and hemodynamic function and has been applied across various fields of brain science. The development of wearable, mechanically and electrically integrated EEG-fNIRS technology is a critical next step in the evolution of this field. A suitable system design could significantly increase the data/image quality, the wearability, patient/subject comfort, and capability for long-term monitoring. Here, we present a concise, yet comprehensive, review of the progress that has been made toward achieving a wearable, integrated EEG-fNIRS system. Significant marks of progress include the development of both discrete component-based and microchip-based EEG-fNIRS technologies; modular systems; miniaturized, lightweight form factors; wireless capabilities; and shared analogue-to-digital converter (ADC) architecture between fNIRS and EEG data acquisitions. In describing the attributes, advantages, and disadvantages of current technologies, this review aims to provide a roadmap toward the next generation of wearable, integrated EEG-fNIRS systems.

Indexed as

Spectroscopy, Near-InfraredWearable Electronic DevicesBrainElectroencephalographyHemodynamicsHumansdiffuse optical tomographyEEGfNIRSintegratedmultimodalwearable

Identifiers

PMID34577313
PMCPMC8469799

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.