Results 41 to 50 of about 49,854 (168)

Independent component analysis of gait-related movement artifact recorded using EEG electrodes during treadmill walking.

open access: yesFrontiers in Human Neuroscience, 2015
There has been a recent surge in the use of electroencephalography (EEG) as a tool for mobile brain imaging due to its portability and fine time resolution. When EEG is combined with independent component analysis (ICA) and source localization techniques,
Kristine Lynne Snyder   +5 more
doaj   +1 more source

Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions. [PDF]

open access: yes, 2017
Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and ...
Jung, Tzyy-Ping   +2 more
core   +2 more sources

Noninvasive Neural Prostheses Using Mobile and Wireless EEG [PDF]

open access: yesProceedings of the IEEE, 2008
Neural prosthetic technologies have helped many patients by restoring vision, hearing, or movement and relieving chronic pain or neurological disorders. While most neural prosthetic systems to date have used invasive or implantable devices for patients with inoperative or malfunctioning external body parts or internal organs, a much larger population ...
Chin-Teng Lin   +7 more
openaire   +1 more source

Mobile EEG in Education & Language Learning: A Scoping Review

open access: yesJournal of Neuroeducation
Mobile 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
openaire   +4 more sources

An Epileptic Seizure Detection Technique Using EEG Signals with Mobile Application Development

open access: yesApplied Sciences, 2023
Epileptic seizure detection classification distinguishes between epileptic and non-epileptic signals and is an important step that can aid doctors in diagnosing and treating epileptic seizures.
Zakareya Lasefr   +4 more
doaj   +1 more source

Effects of mobile phones electromagnetic radiation on patients with epilepsy: an EEG study

open access: yesThe Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 2020
Background Recently, an exceptional increase was witnessed in cell phone users. The brain has greater exposure to the electromagnetic field (EMF) created during mobile phone use than the rest of the body, which may impair its function.
Radwa Azmy   +4 more
doaj   +1 more source

Pleasure of paying when using mobile payment: Evidence from EEG studies

open access: yesFrontiers in Psychology, 2022
Mobile payment has emerged as a popular payment method in many countries. While much research has focused on the antecedents of mobile payment adoption, limited research has investigated the consequences of mobile payment usage relating to how it would ...
Manlin Wang   +7 more
doaj   +1 more source

Detecting Error-Related Negativity for Interaction Design [PDF]

open access: yes, 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
core   +2 more sources

User Experience of 7 Mobile Electroencephalography Devices: Comparative Study

open access: yesJMIR mHealth and uHealth, 2019
BackgroundRegistration of brain activity has become increasingly popular and offers a way to identify the mental state of the user, prevent inappropriate workload, and control other devices by means of brain-computer interfaces.
Radüntz, Thea, Meffert, Beate
doaj   +1 more source

Mobile Electroencephalography for Studying Neural Control of Human Locomotion

open access: yesFrontiers in Human Neuroscience, 2021
Walking or running in real-world environments requires dynamic multisensory processing within the brain. Studying supraspinal neural pathways during human locomotion provides opportunities to better understand complex neural circuity that may become ...
Seongmi Song   +3 more
doaj   +1 more source

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