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A Vision-Driven Collaborative Robotic Grasping System Tele-Operated by Surface Electromyography.

Sensors (Basel, Switzerland)
This paper presents a system that combines computer vision and surface electromyography techniques to perform grasping tasks with a robotic hand. In order to achieve a reliable grasping action, the vision-driven system is used to compute pre-grasping...
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RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes.

BMC genomics
BACKGROUND: Although different quality controls have been applied at different stages of the sample preparation and data analysis to ensure both reproducibility and reliability of RNA-seq results, there are still limitations and bias on the detectabi...

Improving well-being in patients with major neurodegenerative disorders: differential efficacy of brief social robot-based intervention for 3 neuropsychiatric profiles.

Clinical interventions in aging
BACKGROUND: Behavioral and psychological symptoms of dementia (BPSD) affect patients' daily life and subjective well-being. International recommendations stress nonpharmacological interventions as first-line treatment. While newer psychosocial initia...

Predicting hospital admission at emergency department triage using machine learning.

PloS one
OBJECTIVE: To predict hospital admission at the time of ED triage using patient history in addition to information collected at triage.

Dynamics of brain activity reveal a unitary recognition signal.

Journal of experimental psychology. Learning, memory, and cognition
Dual-process models of recognition memory typically assume that independent familiarity and recollection signals with distinct temporal profiles can each lead to recognition (enabling 2 routes to recognition), whereas single-process models posit a un...

Nonlinear effective connectivity measure based on adaptive Neuro Fuzzy Inference System and Granger Causality.

NeuroImage
Exploring brain networks is an essential step towards understanding functional organization of the brain, which needs characterization of linear and nonlinear connections based on measurements like EEG or MEG. Conventional measures of connectivity ar...
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Diagnostic model for attention-deficit hyperactivity disorder based on interregional morphological connectivity.

Neuroscience letters
Previous brain morphology-related diagnostic models for attention-deficit hyperactivity disorder (ADHD) were based on regional features. However, building a model of individual interregional morphological connectivity is a challenging task. This stud...

Fully automatic cross-modality localization and labeling of vertebral bodies and intervertebral discs in 3D spinal images.

International journal of computer assisted radiology and surgery
PURPOSE: We present a cross-modality and fully automatic pipeline for labeling of intervertebral discs and vertebrae in volumetric data of the lumbar and thoracolumbar spine. The main goal is to provide an algorithm that is applicable to a wide range...