AIMC Topic: Female

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Control of a Robotic Hand Using a Tongue Control System-A Prosthesis Application.

IEEE transactions on bio-medical engineering
OBJECTIVE: The aim of this study was to investigate the feasibility of using an inductive tongue control system (ITCS) for controlling robotic/prosthetic hands and arms.

A class of joint models for multivariate longitudinal measurements and a binary event.

Biometrics
Predicting binary events such as newborns with large birthweight is important for obstetricians in their attempt to reduce both maternal and fetal morbidity and mortality. Such predictions have been a challenge in obstetric practice, where longitudin...

A patient-specific EMG-driven neuromuscular model for the potential use of human-inspired gait rehabilitation robots.

Computers in biology and medicine
A patient-specific electromyography (EMG)-driven neuromuscular model (PENm) is developed for the potential use of human-inspired gait rehabilitation robots. The PENm is modified based on the current EMG-driven models by decreasing the calculation tim...

Modality-independent representations of small quantities based on brain activation patterns.

Human brain mapping
Machine learning or MVPA (Multi Voxel Pattern Analysis) studies have shown that the neural representation of quantities of objects can be decoded from fMRI patterns, in cases where the quantities were visually displayed. Here we apply these technique...

Wheezing recognition algorithm using recordings of respiratory sounds at the mouth in a pediatric population.

Computers in biology and medicine
BACKGROUND: Respiratory diseases in children are a common reason for physician visits. A diagnostic difficulty arises when parents hear wheezing that is no longer present during the medical consultation. Thus, an outpatient objective tool for recogni...

Intracranial pressure wave morphological classification: automated analysis and clinical validation.

Acta neurochirurgica
BACKGROUND: Recently, different software has been developed to automatically analyze multiple intracranial pressure (ICP) parameters, but the suggested methods are frequently complex and have no clinical correlation. The objective of this study was t...

Seeing Minds in Others - Can Agents with Robotic Appearance Have Human-Like Preferences?

PloS one
Ascribing mental states to non-human agents has been shown to increase their likeability and lead to better joint-task performance in human-robot interaction (HRI). However, it is currently unclear what physical features non-human agents need to poss...

Robotic Quantification of Position Sense in Children With Perinatal Stroke.

Neurorehabilitation and neural repair
Background Perinatal stroke is the leading cause of hemiparetic cerebral palsy. Motor deficits and their treatment are commonly emphasized in the literature. Sensory dysfunction may be an important contributor to disability, but it is difficult to me...

Representation learning for mammography mass lesion classification with convolutional neural networks.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The automatic classification of breast imaging lesions is currently an unsolved problem. This paper describes an innovative representation learning framework for breast cancer diagnosis in mammography that integrates deep le...