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“ParkNosis”

Hello! Abdulwahab Sahyoun Karim Chehab Osama Al Madani We’re here to talk about a mobile based solution for Parkinson’s Disease research and diagnosis.

Evolution of Medical Equipment 1 Evolution of Medical Equipment Let’s start with what matters most

The day is fast approaching when your phone or something like it will be checking your vital signs day and night. - Marty Cooper

What Smartphones are used for today Govermental Services Banking Medical Research

Smartphones can now act as carekits , personalized for every one of us Medical Kits Smartphones can now act as carekits , personalized for every one of us

Who can use our app ? Clinics Hospitals Universities Researchers Individual Users

2 Statistics Some facts to know

Smartphone user worldwide Of the people in UAE own a smartphone 2.16 billion Smartphone user worldwide 3 million Smartphone users in UAE 68.6% Of the people in UAE own a smartphone Statistics from http://www.emarketer.com/

1 in 500 suffer from PD Around 1 million + affected Around 16,500 + affected Statistics from http://gulfnews.com/gn-focus/help-for-parkinson-s-1.1254515

7,000,000+ People around the world suffer from Parkinson’s Disease Statistics from http://www.pdf.org/en/parkinson_statistics

So … how does the app work ? 3 Technical Summary So … how does the app work ?

Analysis Algorithms based on Essential Breakdown Database Storage where User data is tokenized Android Application Analysis Algorithms based on Medical Research

The process Questionnaire Touch & Sensor Data Analysis

Data Distribution Questionnaire Wearable Touch Tests

App Preview

Place your screenshot here Place your screenshot here

Wear Preview

To Phone

How do the algorithms work ? 4 Deeper Look How do the algorithms work ?

Tremor Analysis Record Accelerometer data Find the mean Normalize the data with respect to the mean Find the severity of the tremors by looking at the coefficient variable of the data.

Spiral Analysis Collect Patient’s trace of the spiral Collect Patient’s trace of the spiral while the spiral blinks on & off Find the acceleration in each trace Construct a histogram of the two accelerations Compute the L 2 Norm of the first 10 samples

Tapping Analysis Record delays between taps. Record tap coordinates and find variance in distances. Find bradykinetic or dyskinetic movements by analyzing fatigue, precision, and involuntary taps.

Secondary Taps Cross Field Distance (D) + Delay in milliseconds Center Fields (CF) In Field distance (d)

0.5 in 1.27 cm

Thanks! Any questions?