Latest AI and machine learning research in neurology for healthcare professionals.
Learning the deep structures and unknown correlations is important for the detection of motor imagery of EEG signals (MI-EEG). This study investigates the use of convolutional neural networks (CNNs) for the classification of multi-class MI-EEG signals. Augmented common spatial pattern (ACSP) features are generated based on pair-wise projection matrices, which covers various frequency ranges. We pr...
Alzheimer's disease is characterized by brain pathological aggregates such as Aβ plaques and neurofibrillary tangles which trigger neuroinflammation and participate to neuronal loss. Quantification of these pathological markers on histological sections is widely performed to study the disease and to evaluate new therapies. However, segmentation of neuropathology images presents difficulties inhere...
In this paper we present a novel EMG-based assistive control strategy for lower-limb exoskeletons. An active pelvis orthosis (APO) generates torque pr...
An automatic gait initialization strategy based on user intention sensing in the context of rehabilitation with a lower-limb wearable robot is propose...
One post-stroke patient underwent neuro-motor rehabilitation of one upper limb with a novel system combining a passive robotic device, Virtual Reality...
We studied the effects of robotic-assisted locomotor (LOKOMAT) training or an anti-spastic medication (tizanidine) on neuromuscular abnormality associ...
Individuals with spinal cord injury or neurological disorders have problems in urinary bladder storage and in voiding function. In these people, the d...
There exists a 6-8 hour window of opportunity for the treatment of perinatal Hypoxic-Ischemic Encephalopathy (HIE) following the original insult after...
This paper presents a novel patient-specific algorithm for detection of seizures in epileptic patients with low hardware complexity and low power cons...
In neuroscience, data are typically generated from neural network activity. Complex interactions between measured time series are involved, and nothin...
Learning to maintain standing balance in the presence of a paretic limb is an important recovery process for many stroke survivors. In this study, we ...
Surgery to the base of tongue (BOT) in the presence of neoplasm is a challenging topic for head and neck surgeons. This area is difficult to access an...
BACKGROUND/AIM: Spinocerebellar ataxias (SCAs) are complex clinical and genetically heterogeneous, mostly autosomal dominant neurodegenerative disease...
BACKGROUND: Relationships between various climate factors and stroke have long been a subject of investigation. The present study investigated in a si...
Neurodegenerative disease is defined as a deterioration of the nervous system in the intellectual and cognitive capabilities. Statistics show that mor...
BACKGROUND: Limited data exist comparing viral quasispecies between cerebrospinal fluid (CSF) and plasma compartments during primary HIV infection. De...
We describe a case of a middle-aged Caucasian pilot who presented to us with a painless left Horner's syndrome due to a focal dissection of the infra-...
A 32-year old experienced co-pilot was grounded because of handicapping and disabling doulbe vision and was off-flight from October, 1969, until Janua...