Latest AI and machine learning research in neurology for healthcare professionals.
Deep learning models have been widely used in electroencephalogram (EEG) analysis and obtained excel...
Valid approaches for interfacing with and deciphering neural commands related to movement are critic...
The evaluation of animals' motion behavior has played a vital role in neuromuscular biomedical resea...
Stridor is a rare but important non-motor symptom that can support the diagnosis and prediction of w...
BACKGROUND: Neurodegenerative diseases (NDDs) are prevalent among older adults worldwide. Early diag...
Accurate mandibular canal (MC) detection is crucial to avoid nerve injury during surgical procedures...
The clinical efficacy of robotic rehabilitation interventions hinges on appropriate neuromuscular re...
This paper proposes three novel accelerated inverse-free neurodynamic approaches to solve absolute v...
The spine is an important part of the human body. Thus, its curvature and shape are closely monitore...
Upper extremity hemiplegia is a serious problem affecting the lives of many people post-stroke. Moto...
Advances in neuroimaging have permitted the non-invasive examination of the human brain in pain. How...
Constructing an efficient and accurate epilepsy detection system is an urgent research task. In this...
Due to the phenomenon of "involution" in China, the current generation of college and university stu...
Gesture recognition has been playing an increasingly important role in the field of intelligent cont...
Late-onset Alzheimer's disease (LOAD) is the most common multifactorial neurodegenerative disease am...
The utility and sensitivity of quantitative D-Dimer assay to rule out the diagnosis of deep vein thr...
OBJECTIVE: Characterization of the optic nerve through measurement of optic nerve diameter (OND) and...
Motor Imagery (MI)-Brain Computer-Interfaces (BCI) illiteracy defines that not all subjects can achi...
INTRODUCTION: Machine learning methods have emerged as objective tools to evaluate operative perform...
Physiological signal processing plays a key role in next-generation human-machine interfaces as phys...
INTRODUCTION: The aging of the population and the high incidence of those over 80 lead to an inevita...