Neurology

Advances in neuroproteomics for neurotrauma: unraveling insights for personalized medicine and future prospects.

Neuroproteomics, an emerging field at the intersection of neuroscience and proteomics, has garnered ...

Single-Belt Versus Split-Belt: Intelligent Treadmill Control via Microphase Gait Capture for Poststroke Rehabilitation.

Stroke is the leading long-term disability and causes a significant financial burden associated with...

Novel Wearable HD-EMG Sensor With Shift-Robust Gesture Recognition Using Deep Learning.

In this work, we present a hardware-software solution to improve the robustness of hand gesture reco...

Flexible Gel-Free Multi-Modal Wireless Sensors With Edge Deep Learning for Detecting and Alerting Freezing of Gait Symptom.

Freezing of gait (FoG) is a debilitating symptom of Parkinson's disease (PD). This work develops fle...

Prediction of Parkinson's disease by transcranial sonography-based deep learning.

OBJECTIVES: Transcranial sonography has been used as a valid neuroimaging tool to diagnose Parkinson...

EESCN: A novel spiking neural network method for EEG-based emotion recognition.

BACKGROUND AND OBJECTIVE: Although existing artificial neural networks have achieved good results in...

Oscillatory Responses to Tactile Stimuli of Different Intensity.

Tactile perception encompasses several submodalities that are realized with distinct sensory subsyst...

Just a vitamin? Should cobalamin (Vitamin B12) levels be checked in children with neurological disadvantages?

OBJECTIVE: The assay of serum cobalamin (Cbl) level is commonly used to diagnose Cbl deficiency. Une...

Answer to the letter to the editor of H. Daungsupawong et al. concerning "Large language models: Are artificial intelligence-based chatbots a reliable source of patient information for spinal surgery?" by R. Stroop et al. (Eur Spine J [2023]; doi:10.1007/s00586-023-07975-z).

A global bibliometric and visualized analysis of gait analysis and artificial intelligence research from 1992 to 2022.

Gait is an important basic function of human beings and an integral part of life. Many mental and ph...

Deep learning-based estimation of axial length using macular optical coherence tomography images.

BACKGROUND: This study aimed to develop deep learning models using macular optical coherence tomogra...

Letter to the editor concerning "Large language models: Are artificial intelligence-based chatbots a reliable source of patient information for spinal surgery?" by R. Stroop et al. (Eur Spine J [2023]; doi:10.1007/s00586-023-07975-z).

Cognitive decline assessment using semantic linguistic content and transformer deep learning architecture.

BACKGROUND: Dementia is a cognitive decline that leads to the progressive deterioration of an indivi...

Effects of overground gait training assisted by a wearable exoskeleton in patients with Parkinson's disease.

BACKGROUND: In the recent past, wearable devices have been used for gait rehabilitation in patients ...

The role of artificial intelligence in the management of trigeminal neuralgia.

Trigeminal neuralgia (TN) is the most frequent facial pain. It is difficult to treat pharmacological...

A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch.

INTRODUCTION: When time since stroke onset is unknown, DWI-FLAIR mismatch rating is an established t...

Spatio-Temporal Explanation of 3D-EEGNet for Motor Imagery EEG Classification Using Permutation and Saliency.

Recently, convolutional neural network (CNN)-based classification models have shown good performance...

Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data.

MOTIVATION: Acute ischemic stroke is one of the leading causes of morbidity and disability worldwide...

An Efficient Group Federated Learning Framework for Large-Scale EEG-Based Driver Drowsiness Detection.

To avoid traffic accidents, monitoring the driver's electroencephalogram (EEG) signals to assess dro...

Predicting glaucoma progression using deep learning framework guided by generative algorithm.

Glaucoma is a slowly progressing optic neuropathy that may eventually lead to blindness. To help pat...

A metric for characterizing the arm nonuse workspace in poststroke individuals using a robot arm.

An overreliance on the less-affected limb for functional tasks at the expense of the paretic limb an...