Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton
This study explores the use of a brain-computer interface (BCI) based on motor imagery (MI)
for the control of a lower limb exoskeleton to aid in motor recovery after a neural injury. The …
for the control of a lower limb exoskeleton to aid in motor recovery after a neural injury. The …
Improving motor imagery of gait on a brain–computer interface by means of virtual reality: A case of study
Motor imagery (MI) is one of the most common paradigms used in brain-computer interfaces
(BCIs). This mental process is defined as the imagination of movement without any motion …
(BCIs). This mental process is defined as the imagination of movement without any motion …
Brain–machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study
L Ferrero, P Soriano-Segura, J Navarro… - Journal of …, 2024 - Springer
Background This research focused on the development of a motor imagery (MI) based brain–
machine interface (BMI) using deep learning algorithms to control a lower-limb robotic …
machine interface (BMI) using deep learning algorithms to control a lower-limb robotic …
Adapting EEG based MI-BMI depending on alertness level for controlling a lower-limb exoskeleton
L Ferrero, E Iáñez, V Quiles… - … on Metrology for …, 2022 - ieeexplore.ieee.org
Motor imagery (MI) has been used as a control paradigm of external devices for brain-
machine interfaces (BMI). One of the main limitations of EEG based MI-BMI systems is the …
machine interfaces (BMI). One of the main limitations of EEG based MI-BMI systems is the …
Decoding of Turning Intention during Walking Based on EEG Biomarkers
In the EEG literature, there is a lack of asynchronous intention models that realistically
propose interfaces for applications that must operate in real time. In this work, a novel BMI …
propose interfaces for applications that must operate in real time. In this work, a novel BMI …
The impact of context on EEG motor imagery neurofeedback and related motor domains
Neurofeedback (NF) is a versatile non-invasive neuromodulation technique. In combination
with motor imagery (MI), NF has considerable potential for enhancing motor performance or …
with motor imagery (MI), NF has considerable potential for enhancing motor performance or …
Towards adaptive brain-computer interfaces: statistical inference for mental state recognition
M Torkamani Azar - 2020 - research.sabanciuniv.edu
Brain-computer interface (BCI) systems aim to establish direct communication channels
between the brain and external devices. The primary motivation is to enable patients with …
between the brain and external devices. The primary motivation is to enable patients with …