EEG-based brain-computer interfaces: a thorough literature survey

HJ Hwang, S Kim, S Choi, CH Im - International Journal of Human …, 2013 - Taylor & Francis
Brain–computer interface (BCI) technology has been studied with the fundamental goal of
helping disabled people communicate with the outside world using brain signals. In …

Re‐imagining motor imagery: Building bridges between cognitive neuroscience and sport psychology

A Moran, A Guillot, T MacIntyre… - British Journal of …, 2012 - Wiley Online Library
One of the most remarkable capacities of the mind is its ability to simulate sensations,
actions, and other types of experience. A mental simulation process that has attracted recent …

Neuroimaging of human balance control: a systematic review

E Wittenberg, J Thompson, CS Nam… - Frontiers in human …, 2017 - frontiersin.org
This review examined 83 articles using neuroimaging modalities to investigate the neural
correlates underlying static and dynamic human balance control, with aims to support future …

The dynamics of sensorimotor cortical oscillations during the observation of hand movements: an EEG study

P Avanzini, M Fabbri-Destro, R Dalla Volta, E Daprati… - PloS one, 2012 - journals.plos.org
Background The observation of action done by others determines a desynchronization of the
rhythms recorded from cortical central regions. Here, we examined whether the observation …

Deep temporal-spatial feature learning for motor imagery-based brain–computer interfaces

J Chen, Z Yu, Z Gu, Y Li - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
Motor imagery (MI) decoding is an important part of brain-computer interface (BCI) research,
which translates the subject's intentions into commands that external devices can execute …

Event-related (De) synchronization (ERD/ERS) during motor imagery tasks: Implications for brain–computer interfaces

Y Jeon, CS Nam, YJ Kim, MC Whang - International Journal of Industrial …, 2011 - Elsevier
The primary aims of this research were to examine (1) mu and beta event-related
desynchronization/synchronization (ERD/ERS) during motor imagery tasks with varying …

EEG-based BCIs on motor imagery paradigm using wearable technologies: a systematic review

A Saibene, M Caglioni, S Corchs, F Gasparini - Sensors, 2023 - mdpi.com
In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …

Motor imagery and sport performance

N Mizuguchi, H Nakata, Y Uchida… - The Journal of Physical …, 2012 - jstage.jst.go.jp
In the present review, how to measure motor imagery ability, brain activity during motor
imagery, the benefits of motor imagery practice, and the influence of sensory inputs on motor …

The effects of handedness on sensorimotor rhythm desynchronization and motor-imagery BCI control

D Zapała, E Zabielska-Mendyk, P Augustynowicz… - Scientific reports, 2020 - nature.com
Brain–computer interfaces (BCIs) allow control of various applications or external devices
solely by brain activity, eg, measured by electroencephalography during motor imagery …

Emotional granularity effects on event-related brain potentials during affective picture processing

JY Lee, KA Lindquist, CS Nam - Frontiers in Human Neuroscience, 2017 - frontiersin.org
There is debate about whether emotional granularity, the tendency to label emotions in a
nuanced and specific manner, is merely a product of labeling abilities, or a systematic …