Neurology

Facilitatory effects of anti-spastic medication on robotic locomotor training in people with chronic incomplete spinal cord injury.

BACKGROUND: The objective of this study was to investigate whether an anti-spasticity medication can facilitate the effects of robotic locomotor treadmill training (LTT) to improve gait function in people with incomplete spinal cord injury (SCI).

An open-label, in-use study assessing the warming sensation accompanying IFF Flavour 316282 and the acceptability and local tolerability of a syrup containing paracetamol and pseudoephedrine for the short-term treatment of symptoms of an upper respiratory tract infection.

OBJECTIVE: The primary objective was to assess the warming sensation caused by IFF Flavour 316282 in a syrup used for short-term treatment by patients suffering from nasal congestion and mild to moderate body pain, headache, fever or sore throat associated with an upper respiratory tract infection.

A novel device for studying weight supported, quadrupedal overground locomotion in spinal cord injured rats.

BACKGROUND: Providing weight support facilitates locomotion in spinal cord injured animals. To control weight support, robotic systems have been devel...

Support vector machine and fuzzy C-mean clustering-based comparative evaluation of changes in motor cortex electroencephalogram under chronic alcoholism.

In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroencephalogram (EEG) were examined to address the pro...

Lokomat training in vascular dementia: motor improvement and beyond!

Vascular dementia (VaD) is a general term describing problems with reasoning, planning, judgment, memory, and other thought processes caused by brain ...

Proliferative activity of a blend of Echinacea angustifolia and Echinacea purpurea root extracts in human vein epithelial, HeLa, and QBC-939 cell lines, but not in Beas-2b cell lines.

Echinacea is used for its immunostimulating properties and may have a role in modulating adverse immune effects of chemotherapy (i.e., use of 5-fluoro...

Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.

Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize event-related potential (ERP) for intent detection. ...

Adaptive myoelectric pattern recognition toward improved multifunctional prosthesis control.

The non-stationary property of electromyography (EMG) signals in real life settings usually hinders the clinical application of the myoelectric patter...

Use of a robotic device for the rehabilitation of severe upper limb paresis in subacute stroke: exploration of patient/robot interactions and the motor recovery process.

This pioneering observational study explored the interaction between subacute stroke inpatients and a rehabilitation robot during upper limb training....

Robotic-assisted gait training in neurological patients: who may benefit?

Regaining one's ability to walk is of great importance for neurological patients and is a major goal of all rehabilitation programs. Gait training of ...

RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG.

Learning optimal spatio-temporal filters is a key to feature extraction for single-trial electroencephalogram (EEG) classification. The challenges are...

Comparison of machine classification algorithms for fibromyalgia: neuroimages versus self-report.

UNLABELLED: Recent studies have posited that machine learning (ML) techniques accurately classify individuals with and without pain solely based on ne...

Does surgeon subjective nerve sparing score predict recovery time of erectile function following robot-assisted radical prostatectomy?

INTRODUCTION: During robot-assisted radical prostatectomy (RARP), the quality of nerve sparing (NS) was usually classified by laterality of NS (none, ...

Invited commentary on comparison of robotics, functional electrical stimulation, and motor learning methods for treatment of persistent upper extremity dysfunction after stroke: a randomized controlled trial.

In this issue of Archives of Physical Medicine and Rehabilitation, Jessica McCabe and colleagues report findings from their methodologically sound, do...

Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM.

Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatially segregated brain regions which may be related t...

Automatic detection of sleep apnea based on EEG detrended fluctuation analysis and support vector machine.

Sleep apnea syndrome (SAS) is prevalent in individuals and recently, there are many studies focus on using simple and efficient methods for SAS detect...

Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience.

Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect awareness, have been widely used in many research and m...

Using trend templates in a neonatal seizure algorithm improves detection of short seizures in a foetal ovine model.

Seizures below one minute in duration are difficult to assess correctly using seizure detection algorithms. We aimed to improve neonatal detection alg...

Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques.

This paper describes a discrete wavelet transform-based feature extraction scheme for the classification of EEG signals. In this scheme, the discrete ...

Surgery: Amniotic membrane nerve wrap improves continence and potency outcomes after robotic prostatectomy.