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   Articles with "channel selection" as a keyword



A novel EEG channel selection and classification methodology for multi‐class motor imagery‐based BCI system design

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recommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22700

Abstract: Multi‐class MI EEG analysis is an extensively used paradigm in BCI. However, multiple EEG channels lead to redundant information extraction and would reduce the distinction among various MI tasks. Therefore, optimal channel selection from multi‐channel… read more here.

Keywords: multi class; bci; channel selection; methodology ... See more keywords

Robust visual tracking via adaptive feature channel selection

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22869

Abstract: Discriminative correlation filters (DCFs) have shown promising tracking performance in recent years thanks to the powerful representation ability of deep features. However, a large number of target‐irrelevant channels in deep features limits the tracking performance… read more here.

Keywords: tracking; feature channel; channel; channel selection ... See more keywords

Route selection by fish during post-spate movement in a braided river: a potential effect on local assemblages

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recommendations! Published in 2021 at "Limnology"

DOI: 10.1007/s10201-021-00675-x

Abstract: A dendritic or web-like network is a unique property of inland freshwater systems. The dispersal and movement of freshwater fish are restricted to a network of such waterways. Therefore, during dispersal or movement, fish have… read more here.

Keywords: braided river; channel selection; movement; route selection ... See more keywords

Filtering techniques for channel selection in motor imagery EEG applications: a survey

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recommendations! Published in 2019 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-019-09694-8

Abstract: Brain computer interface (BCI) systems are used in a wide range of applications such as communication, neuro-prosthetic and environmental control for disabled persons using robots and manipulators. A typical BCI system uses different types of… read more here.

Keywords: eeg applications; motor imagery; selection; channel selection ... See more keywords

A statistical framework for EEG channel selection and seizure prediction on mobile

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recommendations! Published in 2019 at "International Journal of Speech Technology"

DOI: 10.1007/s10772-018-09565-7

Abstract: This paper presents a patient-specific approach for electroencephalography (EEG) channel selection and seizure prediction based on statistical probability distributions of the EEG signals. This approach has two main phases; training and testing phases. In the… read more here.

Keywords: eeg channel; channel selection; seizure prediction; selection seizure ... See more keywords

Emotion recognition based on EEG features in movie clips with channel selection

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recommendations! Published in 2017 at "Brain Informatics"

DOI: 10.1007/s40708-017-0069-3

Abstract: Emotion plays an important role in human interaction. People can explain their emotions in terms of word, voice intonation, facial expression, and body language. However, brain–computer interface (BCI) systems have not reached the desired level… read more here.

Keywords: emotion recognition; recognition based; eeg signals; channel selection ... See more keywords

Joint hybrid recursive feature elimination based channel selection and ResGCN for cross session MI recognition

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-73536-z

Abstract: In the field of brain-computer interface (BCI) based on motor imagery (MI), multi-channel electroencephalography (EEG) data is commonly utilized for MI task recognition to achieve sensory compensation or precise human-computer interaction. However, individual physiological differences,… read more here.

Keywords: recognition; feature elimination; channel selection; channel ... See more keywords
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LJaya optimisation‐based channel selection approach for performance improvement of cognitive workload assessment technique

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recommendations! Published in 2020 at "Electronics Letters"

DOI: 10.1049/el.2020.1011

Abstract: In this Letter, the Logical Jaya optimisation is proposed as an extension of the Jaya optimisation algorithm to improve the cognitive workload (CW) assessment technique where channel selection for the EEG signal act as a… read more here.

Keywords: channel selection; optimisation; assessment; approach ... See more keywords
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Assessing impact of channel selection on decoding of motor and cognitive imagery from MEG data.

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recommendations! Published in 2020 at "Journal of neural engineering"

DOI: 10.1088/1741-2552/abbd21

Abstract: OBJECTIVE Magnetoencephalography (MEG) based Brain-Computer Interface (BCI) involves a large number of sensors allowing better spatiotemporal resolution for assessing brain activity patterns. There have been many efforts to develop BCI using MEG with high accuracy,… read more here.

Keywords: imagery; meg; selection; channel selection ... See more keywords

Multi-objective optimization approach for channel selection and cross-subject generalization in RSVP-based BCIs

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recommendations! Published in 2021 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/ac0489

Abstract: Objective. Achieving high precision rapid serial visual presentation (RSVP) task often requires many electrode channels to obtain more information. However, the more channels may contain more redundant information and also lead to its limited practical… read more here.

Keywords: cross subject; selection; channel selection; subject generalization ... See more keywords

A novel channel selection scheme for olfactory EEG signal classification on Riemannian manifolds

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recommendations! Published in 2022 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/ac7b4a

Abstract: Objective. The classification of olfactory-induced electroencephalogram (olfactory EEG) signals has potential applications in disease diagnosis, emotion regulation, multimedia, and so on. To achieve high-precision classification, numerous EEG channels are usually used, but this also brings… read more here.

Keywords: classification; eeg signal; olfactory eeg; channel selection ... See more keywords