Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Poststroke motor, cognitive and speech rehabilitation with brain–computer interface: a perspective review
Brain–computer interface (BCI) technology translates brain activity into meaningful
commands to establish a direct connection between the brain and the external world …
commands to establish a direct connection between the brain and the external world …
Identifying Thematics in a Brain‐Computer Interface Research
H Alharbi - Computational Intelligence and Neuroscience, 2023 - Wiley Online Library
This umbrella review is motivated to understand the shift in research themes on brain‐
computer interfacing (BCI) and it determined that a shift away from themes that focus on …
computer interfacing (BCI) and it determined that a shift away from themes that focus on …
Toward an adapted neurofeedback for post-stroke motor rehabilitation: state of the art and perspectives
S Le Franc, G Herrera Altamira, M Guillen… - Frontiers in Human …, 2022 - frontiersin.org
Stroke is a severe health issue, and motor recovery after stroke remains an important
challenge in the rehabilitation field. Neurofeedback (NFB), as part of a brain–computer …
challenge in the rehabilitation field. Neurofeedback (NFB), as part of a brain–computer …
Brain-machine interface-based training for improving upper extremity function after stroke: A meta-analysis of randomized controlled trials
Y **e, Y Yang, H Jiang, XY Duan, L Gu… - Frontiers in …, 2022 - frontiersin.org
Background Upper extremity dysfunction after stroke is an urgent clinical problem that
greatly affects patients' daily life and reduces their quality of life. As an emerging …
greatly affects patients' daily life and reduces their quality of life. As an emerging …
Brain–machine Interface (BMI)-based neurorehabilitation for post-stroke upper limb paralysis
M Liu, J Ushiba - The Keio journal of medicine, 2022 - jstage.jst.go.jp
Because recovery from upper limb paralysis after stroke is challenging, compensatory
approaches have been the main focus of upper limb rehabilitation. However, based on …
approaches have been the main focus of upper limb rehabilitation. However, based on …
Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain–computer interface
Brain-computer interfaces (BCIs) have recently been shown to be clinically effective as a
novel method of stroke rehabilitation. In many BCI-based studies, the activation of the …
novel method of stroke rehabilitation. In many BCI-based studies, the activation of the …
A multiple session dataset of NIRS recordings from stroke patients controlling brain–computer interface
MR Isaev, OA Mokienko, RK Lyukmanov… - Scientific Data, 2024 - nature.com
This paper presents an open dataset of over 50 hours of near infrared spectroscopy (NIRS)
recordings. Fifteen stroke patients completed a total of 237 motor imagery brain–computer …
recordings. Fifteen stroke patients completed a total of 237 motor imagery brain–computer …
[HTML][HTML] Cognitive task domain influences cognitive-motor interference during large-magnitude treadmill stance perturbations
J Pitts, L Kannan, T Bhatt - Sensors, 2023 - mdpi.com
Reactive balance is postulated to be attentionally demanding, although it has been
underexamined in dual-tasking (DT) conditions. Further, DT studies have mainly included …
underexamined in dual-tasking (DT) conditions. Further, DT studies have mainly included …
[HTML][HTML] Prediction of Gait Kinematics and Kinetics: A Systematic Review of EMG and EEG Signal Use and Their Contribution to Prediction Accuracy
N Amrani El Yaakoubi, C McDonald, O Lennon - Bioengineering, 2023 - mdpi.com
Human-machine interfaces hold promise in enhancing rehabilitation by predicting and
responding to subjects' movement intent. In gait rehabilitation, neural network architectures …
responding to subjects' movement intent. In gait rehabilitation, neural network architectures …
Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain—Computer Interface Study
L Clemente, M La Rocca, G Paparella, M Delussi… - Sensors, 2024 - mdpi.com
In the field of neuroscience, brain–computer interfaces (BCIs) are used to connect the
human brain with external devices, providing insights into the neural mechanisms …
human brain with external devices, providing insights into the neural mechanisms …