AAATE 2013
20th September 2013
A Sensor-based Telemonitoring and Home
Support System to Improve Quality of Life
through BN...
The Aim of the Work
 WHAT: To improve Quality of Life
2
 HOW: Telemonitoring and Home Support
 WHO: BNCI Users
 WHERE:...
Telemonitoring
&
Home Support
Telemonitoring & Home Support
 Telemonitoring & Home Support Systems
(TMHSSs) provide a range of services which
enable pa...
Our Approach
Care
Center
HomeUser Social
Environment
TMHSS
Contexts
5
Our Approach
Care
Center
HomeUser Social
Environment
TMHSS
Functionalities
Personal
Autonomy
Cognitive
Rehabilitation
Soci...
Our Approach
Care
Center
HomeUser Social
Environment
TMHSS
Personal
Autonomy
Cognitive
Rehabilitation
Social
Autonomy
Remo...
The TMHSS at a Glance
8
The TMHSS
Smart-Nodes
GAS
Temperature
Wearable
Sensors
Gyro
ECG
EMG
Smart-objects
Twitter
Toys
AmI
AmI is the “glue” techn...
The TMHSS
 Physical autonomy (smart home control)
 To control a TV
 To turn/off a device
 To control a IP camera
 Soc...
The TMHSS
11
The TMHSS
 Therapists can
 plan future patient activities
 personalize exercises and
activities
 Users can
 perform c...
The TMHSS
 To help answer basic questions about the
state of the user, such as
 “is she depressed?”
 “has she decreased...
The Challenge
To Improve Users’ Quality of Life!
15
The Challenge
 From
 a Visual Analogue
Scale questionnaire…
 To
 automatic assessment
through the TMHSS
16
The Challenge
17
Case Study
Case Study
 BNCI users
 BackHome project
19
BackHome Objectives
 To study the transition from the
hospital to the home
 To learn how different BNCIs and
other assis...
Where We Are
TMHSS Architecture
22
AmI Block
Service
Manager
Communication
Manager
Context
Awarenes
s Module
User Interface
BCI Module
...
QoL Assessment
23
 Mood
 First experiments on social mining on Twitter data
 Study of social mining on FB
 Mobility
 ...
Where We Are Going
To-Do List
 To install the 2nd prototype of the system at end-
users’ facilities (Belfast and Wurzbürg)
 To start experi...
Conclusions
Conclusions
 Supporting people with disabilities is an
important task
 Telemonitoring and home support to remotely
assis...
Acknowledgements
 BackHome
 Website: www.Backhome-FP7.eu
 The research leading to these results has received
funding fr...
Thanks for your
attention!
evargiu@bdigital.org
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A Sensor-based Telemonitoring and Home Support System to Improve Quality of Life through BNCI

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A Sensor-based Telemonitoring and Home Support System to Improve Quality of Life through BNCI

  1. 1. AAATE 2013 20th September 2013 A Sensor-based Telemonitoring and Home Support System to Improve Quality of Life through BNCI Eloisa Vargiu, Juan Manuel Fernández, Sergi Torrellas, Stefan Dauwalder, Marc Solà, and Felip Miralles
  2. 2. The Aim of the Work  WHAT: To improve Quality of Life 2  HOW: Telemonitoring and Home Support  WHO: BNCI Users  WHERE: BackHome Project
  3. 3. Telemonitoring & Home Support
  4. 4. Telemonitoring & Home Support  Telemonitoring & Home Support Systems (TMHSSs) provide a range of services which enable patients to transition more smoothly into the home environment and be maintained for longer at home  TMHSSs  Facilitate services which are convenient for patients, avoiding travel whilst supporting participation in basic healthcare  Can be a cost effective intervention which promotes personal empowerment 4
  5. 5. Our Approach Care Center HomeUser Social Environment TMHSS Contexts 5
  6. 6. Our Approach Care Center HomeUser Social Environment TMHSS Functionalities Personal Autonomy Cognitive Rehabilitation Social Autonomy Remote monitoring QoL Assessment 6
  7. 7. Our Approach Care Center HomeUser Social Environment TMHSS Personal Autonomy Cognitive Rehabilitation Social Autonomy Remote monitoring QoL Assessment Technologies Ambient Intelligence Automatic Quality of Life Assessment SystemRemote Cognitive Rehabilitation Brain Neural Computer Interface Complementary Interfaces 7
  8. 8. The TMHSS at a Glance 8
  9. 9. The TMHSS Smart-Nodes GAS Temperature Wearable Sensors Gyro ECG EMG Smart-objects Twitter Toys AmI AmI is the “glue” technology providing the intelligent baseline framework Robot 9
  10. 10. The TMHSS  Physical autonomy (smart home control)  To control a TV  To turn/off a device  To control a IP camera  Social autonomy (social networking)  To communicate with the therapists  To communicate with relatives  To communicate with friends  Personalization  To adapt to users’ habits  To adapt to the environment 10
  11. 11. The TMHSS 11
  12. 12. The TMHSS  Therapists can  plan future patient activities  personalize exercises and activities  Users can  perform cognitive rehabilitation tasks  perform cognitive activities  receive a feedback on the performed activities 12
  13. 13. The TMHSS  To help answer basic questions about the state of the user, such as  “is she depressed?”  “has she decreased her activity level?”  “is she more engaged in social interactions?” BackHome Heterogeneous information collected by the system User health status Validation 13
  14. 14. The Challenge
  15. 15. To Improve Users’ Quality of Life! 15
  16. 16. The Challenge  From  a Visual Analogue Scale questionnaire…  To  automatic assessment through the TMHSS 16
  17. 17. The Challenge 17
  18. 18. Case Study
  19. 19. Case Study  BNCI users  BackHome project 19
  20. 20. BackHome Objectives  To study the transition from the hospital to the home  To learn how different BNCIs and other assistive technologies work together  To learn how different BNCIs and other assistive technologies can help in the transition from the hospital to the home  To reduce the cost and hassle of the transition from the hospital to the home 20
  21. 21. Where We Are
  22. 22. TMHSS Architecture 22 AmI Block Service Manager Communication Manager Context Awarenes s Module User Interface BCI Module Proactive Reasoning Engine Quality of Life Module BCI Block Internet Smart Home Communication Cognitive Rehabilitation Services and Applications Cognitive Rehabilitation Module User Telemonitoring Quality of Life Module Therapist Station 22 UserStation
  23. 23. QoL Assessment 23  Mood  First experiments on social mining on Twitter data  Study of social mining on FB  Mobility  Definition of the sensor network  Identification of the needed sensors  Usual Activities  Control over home environment  Leisure activities  Study of successes and failures of user’s interactions with the system
  24. 24. Where We Are Going
  25. 25. To-Do List  To install the 2nd prototype of the system at end- users’ facilities (Belfast and Wurzbürg)  To start experiments with end-users at home  Data analysis of the data provided by the first testing phase  Comparisons of obtained results with those given by the users filling the VAS questionnaire 25
  26. 26. Conclusions
  27. 27. Conclusions  Supporting people with disabilities is an important task  Telemonitoring and home support to remotely assist both therapists and disabled people  suitable sensors  physical and social support  Improvement of quality of life of people 27
  28. 28. Acknowledgements  BackHome  Website: www.Backhome-FP7.eu  The research leading to these results has received funding from the European Community's, Seventh Framework Programme FP7/2007- 2013, BackHome project grant agreement n° 288566  Consortium 28
  29. 29. Thanks for your attention! evargiu@bdigital.org

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