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Best Viewed on PPT 2016.

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Presentation on theme: "Best Viewed on PPT 2016."— Presentation transcript:

1 Best Viewed on PPT 2016

2 “ParkNosis”

3 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.

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

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

6 What Smartphones are used for today
Govermental Services Banking Medical Research

7 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

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

9 2 Statistics Some facts to know

10 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

11 1 in 500 suffer from PD Around 1 million + affected
Around 16,500 + affected Statistics from

12 7,000,000+ People around the world suffer from Parkinson’s Disease
Statistics from

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

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

15 The process Questionnaire Touch & Sensor Data Analysis

16 Data Distribution Questionnaire Wearable Touch Tests

17 App Preview

18 Place your screenshot here Place your screenshot here

19 Wear Preview

20 To Phone

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

22 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.

23 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

24 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.

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

26 0.5 in 1.27 cm

27 Thanks! Any questions?


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