User Profiling of People with Disabilities - A Proposal to Pervasively Assess Quality of Life

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My presentation at ICAART 2013 - February 15, 2013

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User Profiling of People with Disabilities - A Proposal to Pervasively Assess Quality of Life

  1. 1. ICAART 2013 15th February 2013 Eloisa Vargiu Barcelona Digital Technology Center User Profiling of People with DisabilitiesA joint work with:Luigi Ceccaroni, Laia Subirats, Suzanne Martin and Felip Miralles 1
  2. 2. Outline of the talk BackHome Project Telemonitoring and Home Support in BackHome The Challenge: Automated Assessment of Quality of Life Conclusions & Future Work 2
  3. 3.  … BackHome Project 3
  4. 4. Aim & Motivation The long term rehabilitation goal for individuals with an acquired brain injury is resettlement back in the community away from institutional care The ideal scenario is that the person will return to her/his previous home and life roles
  5. 5. Aim & Motivation In the early post-discharge phase, additional home care is provided to support the individual and their family Unfortunately, the provided support is often not long enough to achieve the maximum possible independence The transition to the home is often very difficult and traumatic for the individual and the carers
  6. 6. BackHome Main Goal To assist people with disabilities back home after a discharge(*) (*) Daly, J., Armstrong, E., Miralles, F., Vargiu, E., Müller-Putz, G., Hintermller, C., Guger, C., Kübler, A., and Martin, S. (2012). BackHome: Brain-neural-computer interfaces on track to home. In RAatE 2012 -Recent Advances in Assistive Technology &Engineering.
  7. 7. 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
  8. 8. A Reference Scenario Chara is a painter in her thirties  About eight years ago she started to have difficulties holding her paint brush  She was diagnosed with amyotrophic lateral sclerosis and became tetraplegic and artificially ventilated  She was so depressed that she refused treatment when diagnosed with pneumonia  She survived and just recently had her first session with BNCI-based Brain Painting(*) (*) Münssinger, J., Halder, S., Kleih, S., Furdea, A., Raco, V., H¨ osle, A., andK ¨ ubler, A. (2010). Brain painting: First evaluation of a new BCI application with ALS-patients and healthy volunteers. Front Neurosci, 4:182.
  9. 9.  … telemonitoring and home support in BackHomeVargiu, E., Miralles, F., Martin, S., and Markey, D. (2012).BackHome: Assisting and telemonitoring people withdisabilities. In RAatE 2012 - Recent Advances in As-sistive Technology & Engineering. 9
  10. 10. 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
  11. 11. The BackHome Approach TMHSS User Home Social Environment Care Center Contexts
  12. 12. The BackHome Approach TMHSS User Home Social Social Environment Personal Autonomy Autonomy Cognitive QoL Assessment Rehabilitation Remote Care monitoring Center Functionalities
  13. 13. The BackHome Approach TMHSS User Home Social Social Environment Personal Brain Neural Autonomy Autonomy Computer Ambient Intelligence Interface Automatic Cognitive QoL Assessment of Life Quality Complementary Rehabilitation Assessment Interfaces Remote Cognitive Remote System Care Rehabilitation monitoring Center Technologies
  14. 14. The TMHSS Smart-Nodes Twitter GAS Temperature AmI Wearable Smart-objects Sensors EMG Robot Gyro Toys ECG AmI is the “glue” technology providing the intelligent baseline framework
  15. 15. The TMHSS Physical autonomy (smart home control)  To turn on/off a TV  To open/close a curtain  To set the room temperature Social autonomy (social networking)  To communicate with the therapists  To communicate with relatives  To communicate with friends
  16. 16. The TMHSS Performing cognitive activities through  a communication system • to plan future patient activities • to personalize exercises and activities  sensors-based technologies • to monitor exercise execution and performance • to perform cognitive activities (e.g., Brain Painting)  smart objects • to perform cognitive rehabilitation task (e.g., with a robot)
  17. 17. The TMHSS
  18. 18. The TMHSS QoL is the subjective experiences or preferences expressed by an individual in relation to specified aspects of her/his life, with a particular reference to the health status
  19. 19. The TMHSS The QoL assessment system will 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?” Heterogeneousinformation collected by BackHome User the system health status
  20. 20.  … The Challenge Automated Assessment of Quality of Life 20
  21. 21. QoL Assement as User Profiling The idea  A relevant part of the profile of people with health diseases is their QoL How to assess QoL  Several questionnaires have been proposed and adopted  The user is asked to answer to a predefined set of questions about her/his mental and psychological status and feeling
  22. 22. The Challenge Open Issue  It could become boring and annoying for a user to answer to them, especially if they are asked to do that very frequently Our Proposal  Automated assessment of QoL
  23. 23. The Adopted Questionnaire EQ-5D(*)  A standardized measure of health status  Provides a simple, generic measure of health for clinical and economic appraisal  Provides a simple descriptive profile and a single index value for health status that can be used in the clinical and economic evaluation of health care as well as in population health surveys (*) The Euroqol Group (1990). Euroqol a facility for the measurement of health-related quality of life. Health Policy, 16:199–208.
  24. 24. The Adopted Questionnaire
  25. 25. The Adopted Questionnaire Geyh, S., Cieza, A., Kollerits, B., Grimby, G., and Stucki, G. (2007). Content comparison of health-related quality of life measures used in stroke based on the international classification of functioning, disability and health (ICF): a systematic review. Quality of Life Research, 16(5):833–851.
  26. 26. Pervasive QoL Assessment Mobility  through location sensors
  27. 27. Pervasive QoL Assessment Self-care  in principle, also self-care activities can be monitored by relying on suitable sensors  for privacy issues, we decided to not monitor such activities
  28. 28. Pervasive QoL Assessment Usual Activities (housework, education and/or leisure activities)  through the BNCI system Usual Activities (family and friends relationships)  through the support of communication system  through the support of social network
  29. 29. Pervasive QoL Assessment Pain/Discomfort  through text mining algorithms applied on social networking and communication activities
  30. 30. Pervasive QoL Assessment Anxiety/Depression  through the BNCI system (fatigue, spasticity, stress)  through text mining algorithms applied on social networking and communication activities
  31. 31. Pervasive QoL Assessment Health state  by performing inference on all the data gathered by the BNCI system, the wearable sensors and the social communications
  32. 32.  … Conclusions & Future Work 32
  33. 33. Conclusions Profiling people with functional diversity  QoL assessment BackHome challenge  Pervasively assessing the QoL automatically Preliminary proposal  A smart home healthcare monitoring system  EQ-5D questionnaire
  34. 34. Work in Progress Definition of an ad-hoc BackHome questionnaire  Visual Analogue Scale (VAS) questionnaire First prototype installation and testing  Cedar Foundation (U.K.)  Univ. of Würzburg (Germany)
  35. 35. Future Work Data analysis of the data provided by the first testing phase Selection of wearable sensors according to user requirements
  36. 36. Acknowledgements BackHome  Website: www.Backhome-FP7.eu  The research leading to these results has received funding from the European Communitys, Seventh Framework Programme FP7/2007-2013, BackHome project grant agreement n° 288566  Consortium
  37. 37. Thanks for your attention!evargiu@bdigital.org 37

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