AIMC Journal:
BioMed research international

Showing 241 to 250 of 314 articles

Hand Passive Mobilization Performed with Robotic Assistance: Acute Effects on Upper Limb Perfusion and Spasticity in Stroke Survivors.

BioMed research international Sep 28, 2017
This single arm pre-post study aimed at evaluating the acute effects induced by a single session of robot-assisted passive hand mobilization on local perfusion and upper limb (UL) function in poststroke hemiparetic participants. Twenty-three patients...
Stroke Rehabilitation Muscle Spasticity Stroke Upper Extremity Humans Recovery of Function Female Aged Adult Muscle, Skeletal Robotics Middle Aged Male Treatment Outcome
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Combining Upper Limb Robotic Rehabilitation with Other Therapeutic Approaches after Stroke: Current Status, Rationale, and Challenges.

BioMed research international Sep 13, 2017
A better understanding of the neural substrates that underlie motor recovery after stroke has led to the development of innovative rehabilitation strategies and tools that incorporate key elements of motor skill relearning, that is, intensive motor t...
Upper Extremity Stroke Rehabilitation Humans Stroke Recovery of Function Electric Stimulation Robotics Movement
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Towards Rehabilitation Robotics: Off-the-Shelf BCI Control of Anthropomorphic Robotic Arms.

BioMed research international Aug 29, 2017
Advances in neural interfaces have demonstrated remarkable results in the direction of replacing and restoring lost sensorimotor function in human patients. Noninvasive brain-computer interfaces (BCIs) are popular due to considerable advantages inclu...
Prosthesis Design Brain-Computer Interfaces Rehabilitation Humans Robotics Artificial Limbs
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Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface.

BioMed research international Jul 18, 2017
Motor-imagery tasks are a popular input method for controlling brain-computer interfaces (BCIs), partially due to their similarities to naturally produced motor signals. The use of functional near-infrared spectroscopy (fNIRS) in BCIs is still emergi...
Humans Adult Visual Perception Male Brain-Computer Interfaces Robotics Adolescent Motor Activity
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Sparse Contribution Feature Selection and Classifiers Optimized by Concave-Convex Variation for HCC Image Recognition.

BioMed research international Jul 17, 2017
Accurate classification of hepatocellular carcinoma (HCC) image is of great importance in pathology diagnosis and treatment. This paper proposes a concave-convex variation (CCV) method to optimize three classifiers (random forest, support vector mach...
Image Processing, Computer-Assisted Support Vector Machine Humans Liver Neoplasms Databases, Factual Carcinoma, Hepatocellular
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Method of Improved Fuzzy Contrast Combined Adaptive Threshold in NSCT for Medical Image Enhancement.

BioMed research international Jun 28, 2017
Noises and artifacts are introduced to medical images due to acquisition techniques and systems. This interference leads to low contrast and distortion in images, which not only impacts the effectiveness of the medical image but also seriously affect...
Magnetic Resonance Imaging Fuzzy Logic Signal-To-Noise Ratio Image Enhancement Humans Algorithms Tomography, X-Ray Computed
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Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System.

BioMed research international Jun 1, 2017
A novel hybrid brain-computer interface (BCI) based on the electroencephalogram (EEG) signal which consists of a motor imagery- (MI-) based online interactive brain-controlled switch, "teeth clenching" state detector, and a steady-state visual evoked...
Female Adult Male Algorithms Writing Brain-Computer Interfaces Evoked Potentials, Visual Movement Robotics Electroencephalography Humans
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CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks.

BioMed research international May 28, 2017
Many structural variations (SVs) detection methods have been proposed due to the popularization of next-generation sequencing (NGS). These SV calling methods use different SV-property-dependent features; however, they all suffer from poor accuracy wh...
Genome Neural Networks, Computer Sequence Analysis, DNA
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A Cancer Gene Selection Algorithm Based on the K-S Test and CFS.

BioMed research international May 8, 2017
BACKGROUND: To address the challenging problem of selecting distinguished genes from cancer gene expression datasets, this paper presents a gene subset selection algorithm based on the Kolmogorov-Smirnov (K-S) test and correlation-based feature selec...
Animals Neoplasms Support Vector Machine Genes, Neoplasm Models, Genetic Humans Algorithms
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EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN.

BioMed research international Apr 18, 2017
Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with core impairments in the social relationships, communication, imagination, or flexibility of thought and restricted repertoire of activity and interest. In this work, a new c...
Autism Spectrum Disorder Female Male Humans Neural Networks, Computer Electroencephalography Wavelet Analysis Diagnosis, Computer-Assisted Entropy Models, Neurological
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