Artefacts Removal from EEG Recordings in Urban Environment

Alam, Muhammad Talha; Farooq, Humera; Khalid, Muhammad Noman; Kumar, T. Sathis; Rasheed, Kamran

doi:10.1007/978-981-13-6052-7_65

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…These were studies that used consumer-grade EEG to create or improve signal processing algorithms or pipelines. Multiple studies have used an array of clustering and component analytic methods to remove eyeblinks and clean the signal recorded with consumer-grade EEG [104][105][106][107][108][109][110][111]. For instance, Szibbo et al [112] proposed a novel algorithm to remove blink artefacts with logarithmic smoothing methods.…”

Section: Plos Onementioning

confidence: 99%

A scoping review on the use of consumer-grade EEG devices for research

Sabio,

Williams,

McArthur

et al. 2024

PLoS ONE

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Background Commercial electroencephalography (EEG) devices have become increasingly available over the last decade. These devices have been used in a wide variety of fields ranging from engineering to cognitive neuroscience. Purpose The aim of this study was to chart peer-review articles that used consumer-grade EEG devices to collect neural data. We provide an overview of the research conducted with these relatively more affordable and user-friendly devices. We also inform future research by exploring the current and potential scope of consumer-grade EEG. Methods We followed a five-stage methodological framework for a scoping review that included a systematic search using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. We searched the following online databases: PsycINFO, MEDLINE, Embase, Web of Science, and IEEE Xplore. We charted study data according to application (BCI, experimental research, validation, signal processing, and clinical) and location of use as indexed by the first author’s country. Results We identified 916 studies that used data recorded with consumer-grade EEG: 531 were reported in journal articles and 385 in conference papers. Emotiv devices were used most, followed by the NeuroSky MindWave, OpenBCI, interaXon Muse, and MyndPlay Mindband. The most common usage was for brain-computer interfaces, followed by experimental research, signal processing, validation, and clinical purposes. Conclusions Consumer-grade EEG is a useful tool for neuroscientific research and will likely continue to be used well into the future. Our study provides a comprehensive review of their application, as well as future directions for researchers who plan to use these devices.

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Section: Plos Onementioning

confidence: 99%

A scoping review on the use of consumer-grade EEG devices for research

Sabio,

Williams,

McArthur

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…These were studies that used consumer-grade EEG to create or improve signal processing algorithms or pipelines. Multiple studies have used an array of clustering and component analysis methods to remove eyeblinks and clean the signal recorded with consumer-grade EEG [98][99][100][101][102][103][104][105]. For instance, Szibbo et al [106] proposed a novel algorithm to remove blink artefacts with logarithmic smoothing methods.…”

Section: Signal Processingmentioning

confidence: 99%

A scoping review on the use of consumer-grade EEG devices for research

Sabio

Williams

McArthur

et al. 2022

Preprint

View full text Add to dashboard Cite

BACKGROUND: Commercial electroencephalography (EEG) devices have become increasingly available over the last decade. These devices have been used in a wide variety of fields ranging from engineering to cognitive neuroscience. PURPOSE: The aim of this study was to chart peer-review articles that used currently available consumer-grade EEG devices to collect neural data. We provide an overview of the research conducted with these relatively more affordable and user-friendly devices. We also inform future research by exploring the current and potential scope of consumer-grade EEG. METHODS: We followed a five-stage methodological framework for a scoping review that included a systematic search using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. We searched the following electronic databases: PsycINFO, MEDLINE, Embase, Web of Science, and IEEE Xplore. We charted study data according to application (BCI, experimental research, validation, signal processing, and clinical) and location of use as indexed by the first author's country. RESULTS: We identified 916 studies that used data recorded with consumer-grade EEG: 531 were reported in journal articles and 385 in conference papers. Emotiv devices were most used, followed by the NeuroSky MindWave, OpenBCI, interaXon Muse, and MyndPlay Mindband. The most common use was for brain-computer interfaces, followed by experimental research, signal processing, validation, and clinical purposes. CONCLUSIONS: Consumer-grade EEG has proven to be a useful tool for neuroscientific research and will likely continue to be used well into the future. Our study provides a comprehensive review of their application, as well as future directions for researchers who wish to use these devices.

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Artefacts Removal from EEG Recordings in Urban Environment

Cited by 2 publications

References 29 publications

A scoping review on the use of consumer-grade EEG devices for research

A scoping review on the use of consumer-grade EEG devices for research

A scoping review on the use of consumer-grade EEG devices for research

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