Towards predicting posttraumatic stress symptom severity using portable EEG-derived biomarkers
Scientific ReportsPosttraumatic Stress Disorder (PTSD) is a heterogeneous mental health disorder that can develop following a traumatic experience. Understanding its neurobiological basis is crucial to advance early diagnosis and treatment.
Ashritha Peddi +8 more
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Automatic sleep staging using ear-EEG
BioMedical Engineering OnLine, 2017 Background Sleep and sleep quality assessment by means of sleep stage analysis is important for both scientific and clinical applications. Unfortunately, the presently preferred method, polysomnography (PSG), requires considerable expert assistance and ...
Kaare B. Mikkelsen +3 more
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Detecting Error-Related Negativity for Interaction Design [PDF]
, 2012 This paper examines the ability to detect a characteristic brain potential called the Error-Related Negativity (ERN) using off-the-shelf headsets and explores its applicability to HCI.
Subramanian, S, Vi, C.T
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Development of an algorithm for detecting slow peak-wave activity in non-convulsive forms of epilepsy [PDF]
Известия высших учебных заведений: Прикладная нелинейная динамикаThe purpose of this study is to develop a classifier capable of detecting typical absence seizures in real-time using electroencephalogram (EEG) data and a Support Vector Machine (SVM) model. Methods.
Belokopytov, Anton Сергеевич +3 more
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A method for classifying mental tasks in the space of EEG transforms [PDF]
, 2009 In this article we describe a new method for supervised classification of EEG signals. This method applies to the power spectrum density data and assigns class-dependent information weights to individual pixels, so that the decision is defined by the ...
Amorim, R, Gan, JQ, Mirkin, B
core
Non-invasive surface electroencephalography for broilers
MethodsXOur research aimed to develop a non-invasive EEG method for broiler chickens that can be utilized in basic research and practical applications. We evaluated the success of 1) the application and attachment of the EEG electrodes to the head of broiler and
Yukari Togami +4 more
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Intelligent Eye Gaze Localization Method Based on EEG Analysis Using Wearable Headband
Информатика и автоматизацияIn the rapidly evolving digital age, human-machine interface technologies are continuously being improved. Traditional methods of computer interaction, such as a mouse and a keyboard, are being supplemented and even replaced by more intuitive methods ...
Vladimir Romaniuk, Alexey Kashevnik
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Brain-Computer Interface: comparison of two control modes to drive a virtual robot [PDF]
, 2015 A Brain-Computer Interface (BCI) is a system that enables communication and control that is not based on muscular movements, but on brain activity. Some of these systems are based on discrimination of different mental tasks; usually they match the number
André, Jean Marc +4 more
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Mobile EEG in Education & Language Learning: A Scoping Review
Journal of NeuroeducationMobile Electroencephalography (mEEG) has emerged as a promising tool for studying cognitive processes in naturalistic learning environments. Unlike traditional EEG, mEEG offers portability, allowing real-time brain activity monitoring in classroom settings.
Yang, Jincai +2 more
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Multimodal approach to public health interventions using EGG and mobile health technologies
Frontiers in Public HealthIntroductionPublic health interventions increasingly integrate multimodal data sources, such as Electroencephalogram (EEG) data, to enhance monitoring and predictive capabilities for mental health conditions.
Xiao Zhang +3 more
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