Results 81 to 90 of about 5,224,879 (222)

Decoding sensorimotor rhythms during robotic-assisted treadmill walking for brain computer interface (BCI) applications

, 2015
Locomotor malfunction represents a major problem in some neurological disorders like stroke and spinal cord injury. Robot-assisted walking devices have been used during rehabilitation of patients with these ailments for regaining and improving walking ...
Garcia Cossio, Dr. E.G.C. (Donders Institute for Brain, Cognition and Behavior)
core   +1 more source

Stair‐Climbing Wheelchairs for Enhanced Mobility: A Comprehensive Review of Fundamental Mechanisms, Design Concepts, and Performance Analysis

Journal of Field Robotics, EarlyView.
ABSTRACT People with physical disabilities face significant mobility challenges while climbing uneven surfaces and staircases. In these circumstances, traditional wheelchairs do not provide stable, safely controlled mobility, underscoring the importance of building superior stair‐climbing wheelchairs for both medical and infrastructure purposes.
Gopisetti Manikanta, S. M. Abhinandan, Anand Reddy, G. Chandana, Divya, P. Anil Kumar, Ch. Venkata Rao, Ashish Garg, Ravi C. Soni, Jogendra Kumar, Bhargav Akkinepally   +10 more
wiley   +1 more source

Several inaccurate or erroneous conceptions and misleading propaganda about brain-computer interfaces

Frontiers in Human Neuroscience
Brain-computer interface (BCI) is a revolutionizing human-computer interaction, which has potential applications for specific individuals or groups in specific scenarios.
Yanxiao Chen, Yanxiao Chen, Fan Wang, Fan Wang, Tianwen Li, Tianwen Li, Lei Zhao, Lei Zhao, Anmin Gong, Wenya Nan, Peng Ding, Peng Ding, Yunfa Fu, Yunfa Fu   +13 more
doaj   +1 more source

Implantable brain computer interface: Challenges to neurotechnology translation

Neurobiology of Disease, 2010
This article reviews three concepts related to implantable brain computer interface (BCI) devices being designed for human use: neural signal extraction primarily for motor commands, signal insertion to restore sensation, and technological challenges ...
Peter Konrad, Todd Shanks
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Noise reduction in non-invasive brain-computer interfaces for robot control

Current Directions in Biomedical Engineering
To employ a brain-computer interface to control an assistance robot could help disabled people to achieve a minimum degree of autonomy and reduce their dependence on caregivers for simple tasks.
Glaessner Janine, Meyer Dagmar, Schilling Meinhard   +2 more
doaj   +1 more source

Post‐Trial Responsibilities for Participants Implanted With Neurosurgical Devices: A Qualitative Study

Bioethics, EarlyView.
ABSTRACT The issue of post‐trial responsibility is about what is owed to research participants after a clinical trial ends, who is responsible, and how long this responsibility must endure. Despite two decades of international guidance on this issue, research involving novel high‐risk interventions—such as implantable neurotechnologies—raises ...
Nathan Higgins, Adrian Carter, John Gardner   +2 more
wiley   +1 more source

Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification [PDF]

, 2014
The imagination of limb movements offers an intuitive paradigm for the control of electronic devices via brain computer interfacing (BCI). The analysis of electroencephalographic (EEG) data related to motor imagery potentials has proved to be a difficult
Gan, John Q, Ramaswamy Palaniappan, Asensio-Cubero, Javier, Javier Asensio-Cubero, Gan, John Q., Palaniappan, Ramaswamy, John Q. Gan   +6 more
core   +1 more source

Lung Cancer Brain Metastasis: Brain Microenvironmental Adaptation, Therapeutic Resistance and Translational Strategies

Cancer Science, EarlyView.
Lung cancer brain metastasis is shaped by dynamic crosstalk among tumor cells, the blood–brain barrier, glial and immune cells, neurons, and metabolic niches. This review integrates these mechanisms with therapeutic resistance, translational models, CNS delivery, and multidisciplinary treatment strategies.
Jun Yang, Junyi Xiong, Li Ying, Yanyang Zeng, Ziqiang Ouyang, Mei Liu, Meihua Li   +6 more
wiley   +1 more source

Potential use of electrical somatosensory modality for BCI [PDF]

, 2016
INTRODUCTION: P300 is commonly used in noninvasive brain computer interface (BCI). Most P300 based BCIs were focus on visual and auditory stimulation [1]. Several previous reports present the potential use of vibrotactile stimulus for P300 BCI [2,3].
An, X, Ming, D, Hu, Y, LI, J, Pu, J
core   +1 more source