Neurology

Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.

BACKGROUND AND PURPOSE: We analyzed the ability of a machine learning approach that uses diffusion tensor imaging (DTI) structural connectomes to determine lateralization of epileptogenicity in temporal lobe epilepsy (TLE).

Discriminating preictal and interictal brain states in intracranial EEG by sample entropy and extreme learning machine.

BACKGROUND: Epilepsy is one of the most common neurological disorders approximately one in every 100 people worldwide are suffering from it. Uncontrolled epilepsy poses a significant burden to society due to associated healthcare cost to treat and control the unpredictable and spontaneous occurrence of seizures. The objective of this research is to develop and present a novel classification framew...

Hierarchical multi-class SVM with ELM kernel for epileptic EEG signal classification.

In this paper, a novel hierarchical multi-class SVM (H-MSVM) with extreme learning machine (ELM) as kernel is proposed to classify electroencephalogra...

Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease.

BACKGROUND: The development of MRI based methods could prove extremely valuable for identification of reliable biomarkers to aid diagnosis of neurodeg...

Effects of a wearable exoskeleton stride management assist system (SMA®) on spatiotemporal gait characteristics in individuals after stroke: a randomized controlled trial.

BACKGROUND: Robots offer an alternative, potentially advantageous method of providing repetitive, high-dosage, and high-intensity training to address ...

Individual prediction of chronic motor outcome in the acute post-stroke stage: Behavioral parameters versus functional imaging.

Several neurobiological factors have been found to correlate with functional recovery after brain lesions. However, predicting the individual potentia...

SmartTracing: self-learning-based Neuron reconstruction.

In this work, we propose SmartTracing, an automatic tracing framework that does not require substantial human intervention. There are two major novelt...

Determination of Fatigue Following Maximal Loaded Treadmill Exercise by Using Wavelet Packet Transform Analysis and MLPNN from MMG-EMG Data Combinations.

The muscle fatigue can be expressed as decrease in maximal voluntary force generating capacity of the neuromuscular system as a result of peripheral c...

Effect of an interactive therapeutic robotic animal on engagement, mood states, agitation and psychotropic drug use in people with dementia: a cluster-randomised controlled trial protocol.

INTRODUCTION: Apathy, agitated behaviours, loneliness and depression are common consequences of dementia. This trial aims to evaluate the effect of a ...

Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis.

The basal ganglia (BG) comprise multiple subcortical nuclei, which are responsible for cognition and other functions. Developing a brain-machine inter...

A novel method for early diagnosis of Alzheimer's disease based on pseudo Zernike moment from structural MRI.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the most common type of dementia among older people. The number of patients w...

Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy.

Management of drug resistant focal epilepsy would be greatly assisted by a reliable warning system capable of alerting patients prior to seizures to a...

Short-term effect of electrical nerve stimulation on spinal reciprocal inhibition during robot-assisted passive stepping in humans.

The purpose of this study was to investigate the effect of electrical stimulation to the common peroneal nerve (CPN) on the spinal reflex and reciproc...

Retzius-sparing robot-assisted laparoscopic radical prostatectomy: Critical appraisal of the anatomic landmarks for a complete intrafascial approach.

To provide an overview of the anatomical landmarks needed to guide a retropubic (Retzius)-sparing robot-assisted laparoscopic prostatectomy (RALP), an...

Exploring multifractal-based features for mild Alzheimer's disease classification.

PURPOSE: Multifractal applications to resting state functional MRI (rs-fMRI) time series for diagnosing Alzheimer's disease (AD) are still limited. We...

Multi-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning.

BACKGROUND: Electroencephalography (EEG) based sleep staging is commonly used in clinical routine. Feature extraction and representation plays a cruci...

Efficacy of Postoperative Pain Management Using Continuous Local Anesthetic Infusion at the Iliac Crest Bone Graft Site in Patients with Adolescent Idiopathic Scoliosis: A Parallel, Double-Blinded, Randomized Controlled Pilot Trial.

Study Design Randomized controlled trial. Objective Adolescent idiopathic scoliosis (AIS) is a common spinal deformity that affects every population. ...

Robotic therapy for chronic stroke: general recovery of impairment or improved task-specific skill?

There is a great need to develop new approaches for rehabilitation of the upper limb after stroke. Robotic therapy is a promising form of neurorehabil...

Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration.

Predicting disease risk and progression is one of the main goals in many clinical research studies. Cohort studies on the natural history and etiology...

Evaluation of transesophageal echocardiography in detecting cardiac sources of emboli in ischemic stroke patients.

BACKGROUND: Embolus is one of the causes of ischemic stroke that can be due to cardiac sources such as valvular heart diseases and atrial fibrillation...