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The future of wearable devices.
How AI can revolutionize approach
to medical device development
Ron Fridman
AI lecture CEO & FounderPartner
Even Elon Musk talks about Ukraine
Source:	http://scienews.com/space/1271-elon-musk-said-that-the-
ukrainian-rocket-zenit-the-best-after-his-falc.html
Ukrainians are famous by their
spirit of revolution
1991 2004 2014
I`ve discovered Singularity University in 2016
Less than 1 year from idea to reality
Singularity University Global Summit 2017, San Francisco
Today's medicine: Health vs. Healthcare
Contemporary medicine is tasked with the treatment of disease
PPPM ( Personalized, Predictive, Preventive medicine)
Source: Sante: Horizon 2020,
JALMA; Nokia
What is the keyword in the future of
medical devices?
Soures: https://www.economist.com/news/leaders/21721656-data-economy-demands-new-approach-antitrust-rules-worlds-most-
valuable-resource
DATAis the new oil
But how we are going to
refine it?
=
= AI-based cloud
solutions
Medical data will double every 73days in 2020
Data collection approach is changing
From passive and limited
data collection
To active and patient-centric
monitoring
Our user-friendly way to collect medical data:
Mawi Band
Our R&D Projects
Arrhythmia detection Parkinson disease
detection
Emotion detection
using ECG
Biometric identification
using ECG
Activity tracking
and fitness optimization
AI - based EEG
analysis
Detection of non
heart-related diseases
FDA is ready to certify even AI
https://www.forbes.com/sites/bernardmarr/2017/01/20/
first-fda-approval-for-clinical-cloud-based-deep-learning-in-
healthcare/#509f4f1d161c
What do these people have in common?
Vice President
Joe Biden
Basketball
Hall of Famer
Larry Bird
NASCAR driver
Michael Walltrip
Musician
Barry Manilow
My uncle
Alex
Source:	http://www.daily-journal.com/opinion/columnists/local/discovering-a-fib-common-awkward-
potentially-deadly/article_62e5ddcd-a56b-587b-9269-1421fa2d7122.html
They are among the estimated 3.2 Americans who have a
heart condition called atrial fibrillation or “AF”.
9 of 10 heart strokes could be predicted
http://merisight.com/
3.2M
U.S people diagnosed with
AF + 1M undiagnosed
460.000
AF inpatient
Hospitalization in 2012
+5-10%
Yearly growth in AF population
1 in 4 people over forty
develops AF
Our approach to
arrhythmia detection
• A prototype of AI for automated arrhythmia
detection and tested it on different datasets.
• An accuracy of 95% on detecting atrial
fibrillation.
• 20 seconds long ECG records as an input to
our deep neural network.
Parkinson’s disease
statistics
The exact cause of
Parkinson’s disease
is unknown.
There is no test to
diagnose Parkinson’s
disease.
Source:	https://www.michaeljfox.org/page.html?what-is-
parkinsons-infographic
Main functions of the system
Detection of Parkinson’s
disease on early stage
Analysis of the patient's
condition
Interaction between
patient and doctor
Automatic lifestyle
recommendations that can
improve patient’s condition
Emotion Detection
According to the most popular view on
humans emotions, they are all
characterized by 2 parameters:
• Arousal - may be explained as “how
powerful is an emotion”
• Valence - is emotion positive or negative
https://www.researchgate.net/profile/Yi-hsuan_Yang/publication/
254004106/figure/fig1/AS:298208942149638@1448109960909/
Fig-2-The-2D-valence-arousal-emotion-space-Russell-1980-the-position-of-the.png
Wearables can predict even fertility days
Standard fertility awareness methods:
Standard days Body temperature Urine or another test
Not accurate Not comfortable Not comfortable at all
Fertility tracking features:
- Electrocardiogram (ECG)
- Sleep quality
- Stress level
- Vital signs
our AI based solution:
- shows better accuracy | >95%
- more comfortable | wristband
- bigger picture of the health | via ECG
Our novel approach to prediction fertility days
ron@mawi.band
WeChat ID:
ronfridman
Lets offer our customers
daily care, not only
“Emergency days” care

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2017 China IoT Conference, Dec.6-7, 2017 | Shenzhen

  • 1. The future of wearable devices. How AI can revolutionize approach to medical device development Ron Fridman AI lecture CEO & FounderPartner
  • 2. Even Elon Musk talks about Ukraine Source: http://scienews.com/space/1271-elon-musk-said-that-the- ukrainian-rocket-zenit-the-best-after-his-falc.html
  • 3. Ukrainians are famous by their spirit of revolution 1991 2004 2014
  • 4. I`ve discovered Singularity University in 2016
  • 5. Less than 1 year from idea to reality Singularity University Global Summit 2017, San Francisco
  • 6. Today's medicine: Health vs. Healthcare Contemporary medicine is tasked with the treatment of disease
  • 7. PPPM ( Personalized, Predictive, Preventive medicine) Source: Sante: Horizon 2020, JALMA; Nokia
  • 8. What is the keyword in the future of medical devices? Soures: https://www.economist.com/news/leaders/21721656-data-economy-demands-new-approach-antitrust-rules-worlds-most- valuable-resource
  • 9. DATAis the new oil But how we are going to refine it?
  • 10. = = AI-based cloud solutions Medical data will double every 73days in 2020
  • 11. Data collection approach is changing From passive and limited data collection To active and patient-centric monitoring
  • 12. Our user-friendly way to collect medical data: Mawi Band
  • 13. Our R&D Projects Arrhythmia detection Parkinson disease detection Emotion detection using ECG Biometric identification using ECG Activity tracking and fitness optimization AI - based EEG analysis Detection of non heart-related diseases
  • 14. FDA is ready to certify even AI https://www.forbes.com/sites/bernardmarr/2017/01/20/ first-fda-approval-for-clinical-cloud-based-deep-learning-in- healthcare/#509f4f1d161c
  • 15. What do these people have in common? Vice President Joe Biden Basketball Hall of Famer Larry Bird NASCAR driver Michael Walltrip Musician Barry Manilow My uncle Alex Source: http://www.daily-journal.com/opinion/columnists/local/discovering-a-fib-common-awkward- potentially-deadly/article_62e5ddcd-a56b-587b-9269-1421fa2d7122.html They are among the estimated 3.2 Americans who have a heart condition called atrial fibrillation or “AF”.
  • 16. 9 of 10 heart strokes could be predicted http://merisight.com/ 3.2M U.S people diagnosed with AF + 1M undiagnosed 460.000 AF inpatient Hospitalization in 2012 +5-10% Yearly growth in AF population 1 in 4 people over forty develops AF
  • 17. Our approach to arrhythmia detection • A prototype of AI for automated arrhythmia detection and tested it on different datasets. • An accuracy of 95% on detecting atrial fibrillation. • 20 seconds long ECG records as an input to our deep neural network.
  • 18. Parkinson’s disease statistics The exact cause of Parkinson’s disease is unknown. There is no test to diagnose Parkinson’s disease. Source: https://www.michaeljfox.org/page.html?what-is- parkinsons-infographic
  • 19. Main functions of the system Detection of Parkinson’s disease on early stage Analysis of the patient's condition Interaction between patient and doctor Automatic lifestyle recommendations that can improve patient’s condition
  • 20. Emotion Detection According to the most popular view on humans emotions, they are all characterized by 2 parameters: • Arousal - may be explained as “how powerful is an emotion” • Valence - is emotion positive or negative https://www.researchgate.net/profile/Yi-hsuan_Yang/publication/ 254004106/figure/fig1/AS:298208942149638@1448109960909/ Fig-2-The-2D-valence-arousal-emotion-space-Russell-1980-the-position-of-the.png
  • 21. Wearables can predict even fertility days Standard fertility awareness methods: Standard days Body temperature Urine or another test Not accurate Not comfortable Not comfortable at all
  • 22. Fertility tracking features: - Electrocardiogram (ECG) - Sleep quality - Stress level - Vital signs our AI based solution: - shows better accuracy | >95% - more comfortable | wristband - bigger picture of the health | via ECG Our novel approach to prediction fertility days
  • 23. ron@mawi.band WeChat ID: ronfridman Lets offer our customers daily care, not only “Emergency days” care