Technology Overview

Together with Pacific Parkinson’s Research Centre (PPRC), Canada, Lily has launched this personal wellness informatics platform for user testing. The data collected from this initiative will be the first dataset of personal wellness big data documenting people’s Parkinson’s disease development symptoms, especially impulsive and compulsive behaviors, in an interactive digital environment. The analysis results may provide medical researchers with a brand new perspective in diagnosing Parkinson’s disease, and offer insight into potential ways of technology enabled rehabilitation.

Technology Features & Specifications

The objective of this project is to build a scalable platform to unobtrusively collect personal wellness big data from users in a fun game-like environment to facilitate the early detection of Parkinson’s disease symptoms and rehabilitation. At its core is a social game with a farming theme on the iPad platform.The activities in the game are designed with strong grounding in medical research.They provide ample opportunities for users to  assess  a  person’s  risk  of  developing  Parkinson’s  disease through:

  • Motor function analysis   (e.g.,   hand   movement synchronization, micrographia);
  • Cognitive function analysis (e.g., short term memory, impulsive and compulsive behaviors).

Apart from analysis, the platform also offers rehabilitation in a protective environment as many Parkinson’s medications are dopamine agnostics which trick the brain into thinking it has received  dopamine.  Patients  have  been  found  to  become aggressively risk-taking after taking these medications.This has resulted  in  patients  suffering  heavy  financial  losses  through gambling. In the Pumpkin Garden system, we provide stimulating virtual incentives to allow the Parkinson’s patients to safely satisfy  their  urge  for  taking  risks  after  medication  without causing negative consequences in real life.

The user behavior data in the game environment are meticulously collected.The data are detailed enough for the experience of each individual user to be replayed later on.

Potential Applications

Suitable for homes or institutions with elderly or patients requiring rehabilitation.

Market Trends and Opportunities

Parkinson’s disease is the second most common neurodegenerative disorder in Singapore. Symptoms that patients suffer include tremors at rest, s ness and slowness of movement. If Parkinson’s disease can be detected in early stages, proper treatments will significantly slow down its development.

Customer Benefits

The data collected from this initiative will be the first dataset of personal wellness big data document-ing people’s Parkinson’s disease development symptoms, especially impulsive and compulsive behaviours, in an interactive digital environment.  The behaviour monitored include:

  • Motor function analysis
    (e.g., hand movement synchronization, micrographia).
  • Cognitive function analysis
    (e.g., short-term memory, impulsive and compulsive behaviors).

The analysis results may provide medical researchers with a brand new perspective in diagnosing Parkinson’s disease, and o er insights into potential ways of technology enabled rehabilitation.

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