Results 91 to 100 of about 151,138 (275)
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao +5 more
wiley +1 more source
An Accurate Sleep Stages Classification Method Based on State Space Model
IEEE Access, 2019 The classification of sleep stages is the process which helps to evaluate the quality of sleep and detect the sleep related disorders. Through analyzing the electroencephalography, the sleep stages can be discriminated manually by specialists.
Huaming Shen +4 more
doaj +1 more source
Human Brain Mapping, 2020 Signal‐to‐noise ratio (SNR) maps are a good way to visualize electroencephalography (EEG) and magnetoencephalography (MEG) sensitivity. SNR maps extend the knowledge about the modulation of EEG and MEG signals by source locations and orientations and can
M. Piastra +5 more
semanticscholar +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Advanced Intelligent Systems, EarlyView.Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Intravascular electroencephalography (ivEEG) using micro‐intravascular electrodes was developed. Cortical‐vein ivEEG showed a higher signal‐to‐noise ratio and finer spatial resolution of somatosensory evoked potentials (SEPs) than superior sagittal sinus ivEEG, and deep‐vein ivEEG captured clear visual evoked potentials.
Takamitsu Iwata +15 more
wiley +1 more source
Frontiers in Psychology, 2019 This study tested the hypothesis of cortical neural efficiency (i.e., reduced brain activation in experts) in the visuospatial information processing related to football (soccer) scenes in football players. Electroencephalographic data were recorded from
Claudio Del Percio +16 more
doaj +1 more source
ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces
Advanced Intelligent Systems, EarlyView.Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang +12 more
wiley +1 more source
Efficacy of a multidimensional versus usual care physiotherapy on pain and electroencephalography (EEG) spectrum in chronic nonspecific low back pain: study protocol for a randomized controlled trial [PDF]
, 2021 Sanaz Bemani +5 more
openalex +1 more source
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT Marden–Walker syndrome (MWS; OMIM 248700) is an extremely rare congenital disorder characterized by multiple joint contractures, craniofacial dysmorphism, neurological abnormalities, and multisystem involvement. Although historically diagnosed on clinical grounds, only a few cases have been molecularly confirmed.
Guilherme Sotto Battiston +35 more
wiley +1 more source