Results 81 to 90 of about 8,574,707 (338)
Decoding Algorithm of Motor Imagery Electroencephalogram Signal Based on CLRNet Network Model
Sensors, 2023 EEG decoding based on motor imagery is an important part of brain–computer interface technology and is an important indicator that determines the overall performance of the brain–computer interface.
Chaozhu Zhang, Hongxing Chu, Mingyuan Ma
doaj +1 more source
Speed control of separately excited dc motor using artificial intelligent approach [PDF]
, 2013 This paper presents the ability of Artificial Intelligent Neural Network ANNs for the separately excited dc motor drives. The mathematical model of the motor and neural network algorithm is derived. The controller consists two parts which is designed
Bernard, Albinus
core
Higher Network Activity Induced by Tactile Compared to Electrical Stimulation of Leech Mechanoreceptors [PDF]
, 2018 The tiny ensemble of neurons in the leech ganglion can discriminate the locations of touch stimuli on the skin as precisely as a human fingertip. The leech uses this ability to locally bend the body-wall away from the stimulus. It is assumed that a three-
Fathiazar, Elham +2 more
core +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
Enhanced pre-frontal functional-structural networks to support postural control deficits after traumatic brain injury in a pediatric population [PDF]
, 2017 Traumatic brain injury (TBI) affects the structural connectivity, triggering the re-organization of structural-functional circuits in a manner that remains poorly understood.
Bonifazi, Paolo +7 more
core +3 more sources
Journal of Neural Engineering, 2019 Objective. Deep brain stimulation (DBS) has been demonstrated by numerous clinical trials to be an advanced therapy for selected patients with Parkinson’s disease (PD), while its maximal therapeutic effect is capped by the inadequate understanding of the
R. Xiao +3 more
semanticscholar +1 more source
Neural Network Approach for E-Motor Development
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 2022 In this study, the development of electric motor design optimization methods and algorithms for electric vehicles, which have become widespread as a result of energy policies, is discussed. The rapidly increasing need for micro transportation within the scope of small cities has increased the interest in short-range transportation vehicles such as ...
Majid Pourkarimi +2 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser +5 more
wiley +1 more source
Using Magnetoencephalography to Advance the Science of Parkinson Disease: A Systematic Review
Brain and BehaviorPurpose Magnetoencephalography (MEG) offers high temporal resolution and whole‐brain spatial coverage, making it a powerful tool to study brain networks.
Saar Kariv +5 more
doaj +1 more source
eLife, 2017 Gamma activity in the subthalamic nucleus (STN) is widely viewed as a pro-kinetic rhythm. Here we test the hypothesis that rather than being specifically linked to movement execution, gamma activity reflects dynamic processing in this nucleus.
Petra Fischer +13 more
doaj +1 more source