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A Generic Platform for Movement Training
• What we wanted to do – the aim of the project
• Who we are – project participants
• How we did it – technical description and interaction with system
Background trends
Demographics
• We are getting older and we live longer
• We need more medical care
• Long term therapy and rehabilitation costs money
• The ones who pay for the treatment (clinics, insurance companies) will become more
and more price sensitive
Information and large data sets
• Data in an increasing amount from all aspects of our lives
• Medical information and data from sensors measuring movements
Project Aim
• A platform that will make it easy to evaluate and compare rehabilitation
treatments
• Give support physiotherapists, clinics and purchasers of care
• The platform can handle information from different sensor systems and
relate these measurements to background variables such as age and
gender
• A generic data-structure with connectivity even to new sensor systems
with unfamiliar data structures
• Gather data over long time periods - many sessions and from many
patients/people
• Follow up results at both individual and group levels
• Allow for easy development of modules for targeted purposes
Partners in the project
• Research organizations:
• SICS Swedish ICT: Swedish institute for applied ICT research
• University of Oulu: Software engineering research group in the area of embedded
systems and software intensive systems and services
• Fondazione Bruno Kessler – FBK: The research unit E3DA - Energy Efficient Embedded
Digital Architecture works with Body Area Networks and Wearable Electronics
• Companies:
• Evalan: Develops, markets and sells services and solutions that use remote monitoring
and telemetry solutions
• CoRehab: Develops Riablo, a product for rehabilitation and sport training. Riablo uses
sensors to measure movements and games to motivate and guide.
Sensor systems added so far
Play
Play
Platform architecture overview
• Web application that can run in the cloud or in
a local installation
• Provides a REST API for clients:
• rehabilitation systems can use the api to
upload exercise data
• apps can use the api to download data as
well as inspect analysis capabilities and
initiate analysis tasks
• Data is encoded using JSON
• Access rights determine what clients are
allowed to do
REST api
POST GET
Platform
Exercise info
Rehab set
Data model
• Rehabilitation sets
• Patient information and conditions
• Exercise results
• Settings
• Result summary
• Sensor data
• The platform does not dictate the
format of exercise result data, apart
from a few standard parameters
Patient condition
Patient info
Exercise info
Rehab set
Exercise result
Sensor data Sensor
data
Data analysis framework
• Pluggable analysis modules
• You install what you need
• More modules can be added later
• Analysis on sensitive data can be done
inside the platform
• Each module describes itself
• What does the module do
• What input values does it need
• What kind of results does it return
• Analysis tasks can be started and results
returned via the REST API
REST api
Analysis module
Platform
Web interface
• Javascript GUI for browsing data
• Simple analytics via data plots and graphs
• UI towards platform analysis modules
Data analysis example
• Select which analysis module to use
• Fill in module input parameters and start
analysis
• View result when ready
Business scenario 1
Solution-as-a-service
Service: Support healthcare organisations to collect and analyse rehabilitation
data
Target markets:
• Health care providers (hospitals and clinics): A Software Cloud Platform (SaaS);
Software platform to run locally; Software Add-ons/Modules; Data/statistics;
Updates, consulting services, support
• Companies with sensor solutions for rehabilitation: Easy access to clinics and
increased value together with others (other sensor data on the platform);
Integration of their solutions, support, consulting
Revenue model: License packages based on for example number of users
Business scenario 2
Data-as-a-Service
Services: Access to data, data sets and data analyses. Analyses of data from various
sensor systems; Consumer Portal for manipulation and analysis of data sets
Target market: Healthcare providers, insurance companies, pharmaceutical
companies, municipalities.
Revenue models
• License for Private data sets including maintenance and support to customers.
• License for Public data sets including subscription and support to customers.
• Pay as you go - per data size or usage.
In a few years - needs much data and usage over a longer period of time.
Main outcome and future work
• A generic platform that can gather and process data from various sensor systems
• Possibility to upload data from different sessions and different users (not real time)
• Capacity for comparing and analysing treatments
Welcome to our demo in the exhibition!
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