Health Sensor Solutions - University of Ottawaquickforms3.eecs.uottawa.ca/ebt-rp/Presentations/Prof....
Transcript of Health Sensor Solutions - University of Ottawaquickforms3.eecs.uottawa.ca/ebt-rp/Presentations/Prof....
Health Sensor Solutions A Contactless Wellness Monitoring System for
Seniors
2 Student Orientation for E-Business Program, 15 September 2017
Munir Tarar, PhD
COO, Health Sensor Solutions
Professor Miodrag Bolic, PhD
CEO, Health Sensor Solutions, Director, Health Device Research Group
3
Objective
➢ To provide quality care to our seniors in their
rooms with enhanced safety and mental comfort
4
Opportunity
➢ Current products > user-driven, contact-based, privacy
issues
➢ Unreported accidents > increased casualties and related
costs
➢ Elderly population > on the rise, 55M over 65 [1]
➢Market is growing > $220 billion (2012) to $346 billion 2040
[1]
5
How to fill the gap?
➢ By removing their fear of forgetting
wearable
➢ Keeping their privacy intact
➢ Capturing unreported broken breaths and
falls
➢With data-driven, auto and speedy alerts
to caregivers
➢ Saving related costs to them, their
caregivers and institutional elder-care
facilities
6
Our project
➢ Develop a solution for:
Contactless
Detection of breathing, activities and falls, and their
patterns, and notifying caregivers in case of emergency
➢ Using our smart algorithms and off-the-shelf hardware
7
What our solution can offer?
➢Contactless monitoring, no worries of
wearables
➢Auto alert generation, 24/7 uninterupted
service
➢Hassle-free care, especially for Dementia
patients
➢Detection of breathing & falls, even in
washrooms
➢Can help fall prevention
➢For around $60/m or $600 once
8
How does it work?
9
Computer
Algorithms Health
Sensor
Senior
Cloud
Storage and
Processing
Caregiver
Smartphone
Video (demo of fall detection)
10
Solution’s
Architecture
11 R
oo
ms in
Sen
iors
’ Liv
ing
s
Our other projects potentially related to E-
Business
➢ RFID technology ➢ Can be used for e-business for example for dynamic pricing
➢Machine learning ➢ Recommender systems
➢ Anomaly detection in people’s activities
12
What we currently do?
➢Develop algorithms (to implement product
requirements) and software (signal
processing, database storage and
processing, network security, user interface)
➢Perform system testing and validation in
the lab and real environment, get user
feedback, and update requirements
➢Develop business strategies, do market
research, collect customer insights, develop
product requirements, file patents, find
collaborators and partners, and search
advisors and investors
13
The team and who can join us?
➢Team of 15: Led by Dr. Miodrag Bolic
(uOttawa) and
Dr. Sreeraman Rajan (CarletonU), 1 PhD, 9
Grad and 3 Undergrads
➢Experts: in technology and business
development
Matlab, Python, MongoDB, ReactJS, Lean
Startup and much more
➢We offer: Internships, course projects, and
part time positions
To truly self-motivated professionals, who are
capable to use technology to transform ideas
to realities, with zeal and integrity
14
Thank You
15
Health Device Research Group, http://health-
devices.site.uottawa.ca/
School of Electrical and Computer Engineering, uOttawa
Miodrag Bolic, [email protected];
Munir Tarar, [email protected]
References
[1] https://www.caregiver.org/selected-long-term-care-statistics
16