AIMC Topic: Child

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Robot-Aided Neurorehabilitation: A Pediatric Robot for Ankle Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper presents the pediAnklebot, an impedance-controlled low-friction, backdriveable robotic device developed at the Massachusetts Institute of Technology that trains the ankle of neurologically impaired children of ages 6-10 years old. The desi...

Abstract computation in schizophrenia detection through artificial neural network based systems.

TheScientificWorldJournal
Schizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fr...

Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning.

Translational psychiatry
Although the prevalence of autism spectrum disorder (ASD) has risen sharply in the last few years reaching 1 in 68, the average age of diagnosis in the United States remains close to 4--well past the developmental window when early intervention has t...

Considering the effects of gender in child-robot interaction studies: comment on Srinivasan, et Al. (2013).

Perceptual and motor skills
Using a pretest-posttest design, Srinivasan, et al. (2013 ) found that a period of interaction between children and an Isobot humanoid robot improved performance on standardized measures of imitation, planning, and execution of motor behaviors. The a...

Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques.

BioMed research international
The epilepsies are a heterogeneous group of neurological disorders and syndromes characterised by recurrent, involuntary, paroxysmal seizure activity, which is often associated with a clinicoelectrical correlate on the electroencephalogram. The diagn...

Fuzzy logic for characterizing the moderate intensity of physical activity in children.

Journal of science and medicine in sport
OBJECTIVES: The aim of this study was to better characterize the moderate intensity of PA among children by applying fuzzy logic as the most appropriate analytical approach. In this perspective, the 6-MWT was selected as a pertinent exercise modality...

Novel method to predict body weight in children based on age and morphological facial features.

Journal of clinical pharmacology
A new and novel approach of predicting the body weight of children based on age and morphological facial features using a three-layer feed-forward artificial neural network (ANN) model is reported. The model takes in four parameters, including age-ba...

"You gotta try it all": Parents' Experiences with Robotic Gait Training for their Children with Cerebral Palsy.

Physical & occupational therapy in pediatrics
AIMS: Innovative robotic technologies hold strong promise for improving walking abilities of children with cerebral palsy (CP), but may create expectations for parents pursuing the "newest thing" in treatment. The aim of this qualitative study was to...

Using robots in "Hands-on" academic activities: a case study examining speech-generating device use and required skills.

Disability and rehabilitation. Assistive technology
PURPOSE: A 12-year-old girl, Emily, with complex communication needs and severe physical limitations, controlled a Lego robot from a speech-generating device (SGD) to do various "hands-on" academic activities. Emily's teacher and assistive technology...

Exploring the dynamics of design fluency in children with and without ADHD using artificial neural networks.

Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence
The neuropsychology of attention deficit/hyperactivity disorder (ADHD) has been extensively studied, with a general focus on global performance measures of executive function. In this study, we compared how global (i.e., endpoint) versus process (i.e...