Non-invasive brain imaging to advance the understanding of human balance
Humans depend on mobility for social interaction, cognitive development, and health
maintenance. Successful mobility requires maintaining balance, which integrates sensory …
maintenance. Successful mobility requires maintaining balance, which integrates sensory …
Mobile electroencephalography captures differences of walking over even and uneven terrain but not of single and dual-task gait
Walking on natural terrain while performing a dual-task, such as typing on a smartphone is a
common behavior. Since dual-tasking and terrain change gait characteristics, it is of interest …
common behavior. Since dual-tasking and terrain change gait characteristics, it is of interest …
Deep autoencoder for real-time single-channel EEG cleaning and its smartphone implementation using TensorFlow Lite with hardware/software acceleration
Objective: To remove signal contamination in electroencephalogram (EEG) traces coming
from ocular, motion, and muscular artifacts which degrade signal quality. To do this in real …
from ocular, motion, and muscular artifacts which degrade signal quality. To do this in real …
WalkingWizard—a truly wearable EEG headset for everyday use
TL Goh, LS Peh - ACM Transactions on Computing for Healthcare, 2024 - dl.acm.org
Electroencephalography (EEG) provides an opportunity to gain insights to electrocortical
activity without the need for invasive technology. While increasingly used in various …
activity without the need for invasive technology. While increasingly used in various …
Preprocessing Choices for P3 Analyses with Mobile EEG: A Systematic Literature Review and Interactive Exploration
NSJ Jacobsen, D Kristanto, S Welp, YC Inceler… - bioRxiv, 2024 - biorxiv.org
Preprocessing is necessary to extract meaningful results from electroencephalography
(EEG) data. With many possible preprocessing choices, their impact on outcomes is …
(EEG) data. With many possible preprocessing choices, their impact on outcomes is …
[HTML][HTML] Electrocortical theta activity may reflect sensory prediction errors during adaptation to a gradual gait perturbation
NA Jacobsen, DP Ferris - PeerJ, 2024 - peerj.com
Locomotor adaptation to abrupt and gradual perturbations are likely driven by fundamentally
different neural processes. The aim of this study was to quantify brain dynamics associated …
different neural processes. The aim of this study was to quantify brain dynamics associated …
Balance Perturbations in Simulated Low-Gravity Modulate Human Premotor and Frontoparietal Electrocortical Theta, Alpha, and Beta Band Spectral Power
We aimed to identify the influence of bodyweight unloading on healthy human electrical
brain and muscle dynamics during standing balance. Using an underwater environment to …
brain and muscle dynamics during standing balance. Using an underwater environment to …
Prediction of recovery from traumatic brain injury with EEG power spectrum in combination of independent component analysis and RUSBoost model
NSE Mohd Noor, H Ibrahim, MH Che Lah… - …, 2022 - mdpi.com
The computational electroencephalogram (EEG) is recently garnering significant attention in
examining whether the quantitative EEG (qEEG) features can be used as new predictors for …
examining whether the quantitative EEG (qEEG) features can be used as new predictors for …
Combining VR with electroencephalography as a frontier of brain-computer interfaces
This review presents an overview of the integration of virtual reality (VR) and
electroencephalography (EEG), known as VR-EEG systems, and their promising …
electroencephalography (EEG), known as VR-EEG systems, and their promising …
software acceleration
L Xing, A Casson - Authorea Preprints, 2023 - techrxiv.org
This work presents a novel Deep Autoencoder neural network which is developed for
removing EOG, EMG, and motion artifacts from single-channel EEG signal. The proposed …
removing EOG, EMG, and motion artifacts from single-channel EEG signal. The proposed …