AIMC Journal:
Medical & biological engineering & computing
Showing 311 to 320 of 330 articles
Development of a compact continuum tubular robotic system for nasopharyngeal biopsy.
Medical & biological engineering & computing
May 18, 2016
Traditional posterior nasopharyngeal biopsy using a flexible nasal endoscope has the risks of abrasion and injury to the nasal mucosa and thus causing trauma to the patient. Recently, a new class of robots known as continuum tubular robots (CTRs) pro...
Biomechanical effects of body weight support with a novel robotic walker for over-ground gait rehabilitation.
Medical & biological engineering & computing
May 18, 2016
Body weight support (BWS) promotes better functional outcomes for neurologically challenged patients. Despite the established effectiveness of BWS in gait rehabilitation, the findings on biomechanical effects of BWS training still remain contradictor...
Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.
Medical & biological engineering & computing
Apr 22, 2016
The segmentation of liver tumours in CT images is useful for the diagnosis and treatment of liver cancer. Furthermore, an accurate assessment of tumour volume aids in the diagnosis and evaluation of treatment response. Currently, segmentation is perf...
Effect of fuzzy partitioning in Crohn's disease classification: a neuro-fuzzy-based approach.
Medical & biological engineering & computing
Apr 22, 2016
Crohn's disease (CD) diagnosis is a tremendously serious health problem due to its ultimately effect on the gastrointestinal tract that leads to the need of complex medical assistance. In this study, the backpropagation neural network fuzzy classifie...
A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials.
Medical & biological engineering & computing
Apr 22, 2016
Falls are the leading cause of injury-related morbidity and mortality among older adults. Over 90 % of hip and wrist fractures and 60 % of traumatic brain injuries in older adults are due to falls. Another serious consequence of falls among older adu...
Using ELM-based weighted probabilistic model in the classification of synchronous EEG BCI.
Medical & biological engineering & computing
Apr 21, 2016
Extreme learning machine (ELM) is an effective machine learning technique with simple theory and fast implementation, which has gained increasing interest from various research fields recently. A new method that combines ELM with probabilistic model ...
Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.
Medical & biological engineering & computing
Mar 31, 2016
Automated seizure detection is a valuable asset to health professionals, which makes adequate treatment possible in order to minimize brain damage. Most research focuses on two separate aspects of automated seizure detection: EEG feature computation ...
Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil.
Medical & biological engineering & computing
Mar 25, 2016
Pulmonary tuberculosis (PTB) remains a worldwide public health problem. Diagnostic algorithms to identify the best combination of diagnostic tests for PTB in each setting are needed for resource optimization. We developed one artificial neural networ...
Texture- and deformability-based surface recognition by tactile image analysis.
Medical & biological engineering & computing
Mar 23, 2016
Deformability and texture are two unique object characteristics which are essential for appropriate surface recognition by tactile exploration. Tactile sensation is required to be incorporated in artificial arms for rehabilitative and other human-com...
A novel approach for analysis of altered gait variability in amyotrophic lateral sclerosis.
Medical & biological engineering & computing
Oct 30, 2015
Gait variability reflects important information for the maintenance of human beings' health. For pathological populations, changes in gait variability signal the presence of abnormal motor control strategies. Quantitative analysis of the altered gait...
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