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This paper describes a video game for the rehabilitation of the pronation and supination movements of children with cerebral palsy. It is used as an interface for a robot that is currently under development. The game was programmed in LabVIEW and MATLAB is used for analyzing the results. It simulates a formula one racecar on a racetrack. Its objective is to keep the car inside the racetrack's limits...
Autism is a complex neuro-developmental disorder characterized by qualitative alterations in social interactions and interpersonal communication and by repetitive and stereotyped behaviors. The therapy is based on a free play between an autistic child, a mobile robot and a therapist. The robot is used as a mediator between the child and the therapist to improve human to human interactions. The aim...
Motion is one of the most important characteristics in clinical epileptology. In developing an integrated motion analysis system for epileptic patients or children with neurological disorders (e.g. ADHD) we surveyed and analyzed current efforts in vision-based human motion analysis in epilepsy as well as all possible forms of motion typically encountered in known epileptic syndromes. This paper presents...
Learning is a social and interactional endeavor, in which the learner generally receives support from his/her social environment. In this process, the learner's feedback is important as it provides information about the learner's current understanding which, in turn, enables the tutor to adjust his/her presentation accordingly. Thus, through their feedback learners can actively shape the tutor's presentation...
The purpose of this paper is to analyze morphological differences in sigmoidal characteristics of baroreflex among two groups of children: highly-reactive and non-reactive. These two groups are separated based on their different autonomic nervous system responses to stressful situations. Baroreflex or baroreceptor reflex is a prompt biological reflex which is stimulated by baroreceptors, and regulated...
Recent increase in the number of Autism cases has triggered an alarm in our society. Lack of effective diagnostics, interventions and associated cost makes early intervention and long term treatment difficult. In this paper, we describe novel methods to assist management by automatically detecting stereotypical behavioral patterns using accelerometer data. We use the Iterative Subspace Identification...
This paper aims to investigate how robotic devices can be used to understand the mechanism of sensorimotor adaptation in pediatric subjects affected by hemiparetic cerebral palsy. Previous studies showed how healthy adults, after training in presence of a systematic structured disturbing force field, show an “after effect” and therefore they highly adapt and compensate the external disturbance. An...
In this paper a new vision based interface (VBI) for children with cerebral palsy is presented. The VBI is implemented for the interaction between children and computer. The VBI detects and tracks the movement of the hand, foot or head of the user. These movements are translated into movements of the cursor on the screen of the computer. The evaluation of system user-VBI is based on HAAT model. The...
While society is partly responsible for a feeling of isolation among children with learning disabilities, this isolation is exacerbated by the child's inability to adjust psychosocially. The authors hypothesize that social inclusion will be a natural outcome if technology can restore or assist the ability of basic self-expression and self-growth. One of the most promising methods of expression for...
Virtual reality is a recent technology incorporated in upper extremity therapy programs for children with cerebral palsy. However, the systems currently being used cannot be graded to meet the skill level of children with cerebral palsy who have severely impaired upper extremities. These systems are often expensive, making them impractical for the clinical and home settings. ldquoHands-Uprdquo was...
Peripheral neuroblastic tumors (pNTs) make the most commonly encountered tumor groups in children. Neuroblastoma, one of the categories in pNTs, is known to have unique biological behaviors with variable clinical prognoses of the patients. Part of the neuroblastoma prognosis is closely related with grade of neuroblastic differentiation. In this work, we present an automatic classification system that...
This paper reports a preliminary investigation to evaluate the significance of various nonlinear dynamics approaches to analyze the heart rate variability (HRV) signal in children with sleep disordered breathing (SDB). Data collected from children in the age group of 1-17 years diagnosed with sleep apnea were used in this study. Both short term (5 minutes) and long term data from a full night polysomnography...
This paper reports a preliminary investigation to evaluate the significance of various nonlinear dynamics approaches to analyze the heart rate variability (HRV) signal in children with sleep disordered breathing (SDB). Data collected from children in the age group of 1-17 years diagnosed with sleep apnea were used in this study. Both short term (5 minutes) and long term data from a full night polysomnography...
Obstructive sleep apnea (OSA) is a common breathing disorder among children with a prevalence estimated at 2-4%. Electrocardiography (ECG) based signal processing, especially heart rate analysis, demonstrated its promising future as both an alternative to other expensive portable sleep study methods and additional approach to sleep cardio-respiratory autonomic interactions which the current clinical...
Children with severe motor and intellectual disabilities (SMID) find it almost impossible to communicate whether they are feeling comfortable or uncomfortable. Most of the children with SMID rely on medical care involving disposable-type life support devices such as tracheostomy tubes or gastric tubes. It is believed that the insertion and removal of these medical devices could cause extreme physical...
A simple online system for collecting EMG data from surface recording electrodes and force data has been developed to study muscular weakness in multiple sclerosis (MS) patients and children. The parameters of force, integrated EMG, peak positive and negative amplitudes and zero-crossing frequencies are simultaneously recorded. Leg measurements show clear quantifiable differences between normal muscles...
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