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Human-robot interaction in motor imagery: A system based on the STFCN for unilateral upper limb rehabilitation assistance.
Journal of neuroscience methods
Aug 5, 2024
BACKGROUND: Rehabilitation training based on the brain-computer interface of motor imagery (MI-BCI) can help restore the connection between the brain and movement. However, the performance of most popular MI-BCI system is coarse-level, which means th...
EEG based depression detection by machine learning: Does inner or overt speech condition provide better biomarkers when using emotion words as experimental cues?
Journal of psychiatric research
Aug 5, 2024
BACKGROUND: Objective diagnostic approaches need to be tested to enhance the efficacy of depression detection. Non-invasive EEG-based identification represents a promising area.
Identifying psychological predictors of SARS-CoV-2 vaccination: A machine learning study.
Vaccine
Aug 5, 2024
BACKGROUND: Major barriers to addressing SARS-CoV-2 vaccine hesitancy include limited knowledge of what causes delay/refusal of SARS-CoV-2 vaccination and limited ability to predict who will remain unvaccinated over significant time periods despite v...
Machine learning-enabled detection of attention-deficit/hyperactivity disorder with multimodal physiological data: a case-control study.
BMC psychiatry
Aug 5, 2024
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental psychiatric condition that typically emerges during childhood but often persists into adulthood, significantly impacting individuals' functioning, relati...
The impact of deep learning based- psychological capital with ideological and political education on entrepreneurial intentions.
Scientific reports
Aug 5, 2024
The aim of this study is to investigate the influence of psychological capital on college students' entrepreneurial intentions. Through a combination of relevant analysis and linear regression, the primary focus is on exploring the relationship betwe...
Machine learning of brain-specific biomarkers from EEG.
EBioMedicine
Aug 5, 2024
BACKGROUND: Electroencephalography (EEG) has a long history as a clinical tool to study brain function, and its potential to derive biomarkers for various applications is far from exhausted. Machine learning (ML) can guide future innovation by harnes...
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks.
IEEE transactions on neural networks and learning systems
Aug 5, 2024
Multichannel electroencephalogram (EEG) is an array signal that represents brain neural networks and can be applied to characterize information propagation patterns for different emotional states. To reveal these inherent spatial graph features and i...
Deep learning reconstruction for optimized bone assessment in zero echo time MR imaging of the knee.
European journal of radiology
Aug 4, 2024
PURPOSE: To evaluate the impact of deep learning-based reconstruction (DLRecon) on bone assessment in zero echo-time (ZTE) MRI of the knee at 1.5 Tesla.
The minimal computational substrate of fluid intelligence.
Cortex; a journal devoted to the study of the nervous system and behavior
Aug 3, 2024
The quantification of cognitive powers rests on identifying a behavioural task that depends on them. Such dependence cannot be assured, for the powers a task invokes cannot be experimentally controlled or constrained a priori, resulting in unknown vu...
Comparison of three artificial intelligence algorithms for automatic cobb angle measurement using teaching data specific to three disease groups.
Scientific reports
Aug 3, 2024
Spinal deformities, including adolescent idiopathic scoliosis (AIS) and adult spinal deformity (ASD), affect many patients. The measurement of the Cobb angle on coronal radiographs is essential for their diagnosis and treatment planning. To enhance t...
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