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ZEMOTACQY

A platform that would help doctors in assessing the growth and improvement of their patients suffering from mental disorders like ADHD by running a set of research-backed cognitive tests.

The problem ZEMOTACQY solves

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common disorders of childhood, affecting 3–10% of school-age children (Goldman et al. 1998; Burd et al. 2003; Faraone et al. 2003; Ford et al. 2003). It is characterized by age-inappropriate levels of inattention, impulsivity and overactivity. In cognitive studies that have used careful control conditions, children with ADHD often perform poorly across tasks measuring abilities such as reaction time, eye coordination, stimuli response and irregular eye blinks while anticipating visual stimuli sustained attention. (e.g. Mason et al. 2003, 2005; Berwid et al. 2005; Drechsler et al. 2005). It usually begins in childhood and can persist into adulthood. Treatment can help, but this condition is incurable. The treatment includes a rigorous series of medical tests and analysis. Our idea aims at making this laborious testing part easier for a doctor, by giving them an outlook of their patient’s improvement, in an interactive graphical format. Our end product will be a package, with a set of four tasks which will help the doctors in analyzing the improvement of ADHD patients over a period of time.

Reaction time counter - Variation in reaction timing of ADHD patients is much more turbulent as compared to that of a normal being.

Variation in reaction time with variation in number of stimuli point - The reaction time to the number of stimuli point produces a linear regression for normal people which is not true for ADHD patients.

Eye gaze direction estimator given a series of path – ADHD patients show longer fixation duration and more atypical eye movements as compared to Control children.

Blink frequency counter- ADHD subjects fail to suppress eye blinks anticipating visual stimuli but recover with medication.

The result of these four tasks will be visualized using proper plots, graphs and percentages. This final result, along with patient's medical history on azure's cloud file storage solution.

Challenges we ran into

Running the eye tracking model at the exact same time as the visual tests proved to be a stiff. Managing the increasing number of stimulus was another hurdle. Also, we had to make sure the UI strictly adhered to the industry standards for developing mentally disabled friendly software.

Discussion