AIMC Topic: Female

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Decoding objects of basic categories from electroencephalographic signals using wavelet transform and support vector machines.

Brain topography
Decoding and classification of objects through task-oriented electroencephalographic (EEG) signals are the most crucial goals of recent researches conducted mainly for brain-computer interface applications. In this study we aimed to classify single-t...

Identifying Neuroimaging Markers of Motor Disability in Acute Stroke by Machine Learning Techniques.

Cerebral cortex (New York, N.Y. : 1991)
Conventional mass-univariate analyses have been previously used to test for group differences in neural signals. However, machine learning algorithms represent a multivariate decoding approach that may help to identify neuroimaging patterns associate...

Real-time prediction of disordered breathing events in people with obstructive sleep apnea.

Sleep & breathing = Schlaf & Atmung
PURPOSE: Conventional therapies for obstructive sleep apnea (OSA) are effective but suffer from poor patient adherence and may not fully alleviate major OSA-associated cardiovascular risk factors or improve certain aspects of quality of life. Predict...

Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.

Health care management science
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...

The first step in using a robot in brain injury rehabilitation: patients' and health-care professionals' perspective.

Disability and rehabilitation. Assistive technology
PURPOSE: To evaluate the usability of a mobile telepresence robot (MTR) in a hospital training apartment (HTA). The MTR was manoeuvred remotely and was used for communication when assessing independent living skills, and for security monitoring of co...

A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke.

Clinical EEG and neuroscience
Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing activity-dependent brain plasticity. The purpose of this study was to investigate the efficacy of ...

Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.

IEEE journal of biomedical and health informatics
Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly people, and their families so that the elderly people can remain at homes independently. This study in...

Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach.

Clinical EEG and neuroscience
Feature selection is an important step in many pattern recognition systems aiming to overcome the so-called curse of dimensionality. In this study, an optimized classification method was tested in 147 patients with major depressive disorder (MDD) tre...

Robot-assisted therapy for improving social interactions and activity participation among institutionalized older adults: a pilot study.

Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists
INTRODUCTION: Animal-assisted therapy is gaining popularity as part of therapeutic activities for older adults in many long-term care facilities. However, concerns about dog bites, allergic responses to pets, disease, and insufficient available resou...

Recovery of walking ability using a robotic device in subacute stroke patients: a randomized controlled study.

Disability and rehabilitation. Assistive technology
PURPOSE: This study investigates the effectiveness of Lokomat + conventional therapy in recovering walking ability in non-ambulatory subacute stroke subjects involved in inpatient rehabilitation.