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  • 1. 1ICAART 201315th February 2013Eloisa VargiuBarcelona DigitalTechnology CenterUser Profiling ofPeople with DisabilitiesA joint work with:Luigi Ceccaroni, Laia Subirats, Suzanne Martin and Felip Miralles
  • 2. Outline of the talk BackHome Project Telemonitoring and Home Support inBackHome The Challenge: Automated Assessment ofQuality of Life Conclusions & Future Work2
  • 3. 3 … BackHome Project
  • 4. Aim & Motivation The long term rehabilitation goal forindividuals with an acquired braininjury is resettlement back in thecommunity away from institutionalcare The ideal scenario is that theperson will return to her/hisprevious home and life roles
  • 5. Aim & Motivation In the early post-discharge phase, additionalhome care is provided to support theindividual and their family Unfortunately, the provided support is oftennot long enough to achieve the maximumpossible independence The transition to the home is often verydifficult and traumatic for the individual and thecarers
  • 6. BackHome Main Goal To assist people with disabilities back homeafter 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 ontrack to home. In RAatE 2012 -Recent Advances in Assistive Technology &Engineering.
  • 7. BackHome Objectives To study the transition from the hospital tothe home To learn how different BNCIs and otherassistive technologies work together To learn how different BNCIs andother assistive technologies can help in thetransition from the hospital to the home To reduce the cost and hassle of the transitionfrom the hospital to the home
  • 8. A Reference Scenario Chara is a painter in her thirties About eight years ago she started to have difficultiesholding her paint brush She was diagnosed with amyotrophic lateral sclerosisand became tetraplegic and artificially ventilated She was so depressed that she refused treatmentwhen diagnosed with pneumonia She survived and just recently had her first sessionwith 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 andhealthy volunteers. Front Neurosci, 4:182.
  • 9. 9 … telemonitoring and homesupport 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.
  • 10. Telemonitoring & Home Support Telemonitoring & Home Support Systems(TMHSSs) provide a range of services whichenable patients to transition more smoothlyinto the home environment and be maintainedfor longer at home TMHSSs Facilitate services which are convenient for patients,avoiding travel whilst supporting participation in basichealthcare Can be a cost effective intervention whichpromotes personal empowerment
  • 11. The BackHome ApproachCareCenterHomeUser SocialEnvironmentTMHSSContexts
  • 12. The BackHome ApproachCareCenterHomeUser SocialEnvironmentTMHSSFunctionalitiesPersonalAutonomyCognitiveRehabilitationSocialAutonomyRemotemonitoringQoL Assessment
  • 13. The BackHome ApproachCareCenterHomeUser SocialEnvironmentTMHSSPersonalAutonomyCognitiveRehabilitationSocialAutonomyRemotemonitoringQoL AssessmentTechnologiesAmbient IntelligenceAutomaticQuality of LifeAssessmentSystemRemote CognitiveRehabilitationBrain NeuralComputerInterfaceComplementaryInterfaces
  • 14. The TMHSSSmart-NodesGASTemperatureWearableSensorsGyroECGEMGSmart-objectsTwitterToysAmIAmI is the “glue” technologyproviding the intelligent baseline frameworkRobot
  • 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. 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 arobot)
  • 17. The TMHSS
  • 18. The TMHSS QoL is the subjective experiences orpreferences expressed by an individual inrelation to specified aspects of her/his life, witha particular reference to the health status
  • 19. The TMHSS The QoL assessment system will help answerbasic 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?”BackHomeHeterogeneousinformation collected bythe systemUserhealth status
  • 20. 20 … The ChallengeAutomated Assessment ofQuality of Life
  • 21. QoL Assement as User Profiling The idea A relevant part of the profile of people with healthdiseases is their QoL How to assess QoL Several questionnaires have been proposed andadopted The user is asked to answer to a predefined set ofquestions about her/his mental andpsychological status and feeling
  • 22. The Challenge Open Issue It could become boring and annoying for a user toanswer to them, especially if they are asked to dothat very frequently Our Proposal Automated assessment of QoL
  • 23. The Adopted Questionnaire EQ-5D(*) A standardized measure of health status Provides a simple, generic measure of health forclinical and economic appraisal Provides a simple descriptive profile and a singleindex value for health status that can be used in theclinical and economic evaluation of health care aswell as in population health surveys(*) The Euroqol Group (1990). Euroqol a facility for the measurement of health-relatedquality of life. Health Policy, 16:199–208.
  • 24. The Adopted Questionnaire
  • 25. The Adopted QuestionnaireGeyh, S., Cieza, A., Kollerits, B., Grimby, G., and Stucki, G. (2007). Content comparisonof health-related quality of life measures used in stroke based on the internationalclassification of functioning, disability and health (ICF): a systematic review. Quality ofLife Research, 16(5):833–851.
  • 26. Pervasive QoL Assessment Mobility through location sensors
  • 27. Pervasive QoL Assessment Self-care in principle, also self-careactivities can be monitoredby relying on suitablesensors for privacy issues, wedecided to not monitor suchactivities
  • 28. Pervasive QoL Assessment Usual Activities (housework,education and/or leisureactivities) through the BNCI system Usual Activities (family andfriends relationships) through the support ofcommunication system through the support of socialnetwork
  • 29. Pervasive QoL Assessment Pain/Discomfort through text miningalgorithms applied on socialnetworking andcommunication activities
  • 30. Pervasive QoL Assessment Anxiety/Depression through the BNCI system(fatigue, spasticity, stress) through text miningalgorithms applied on socialnetworking andcommunication activities
  • 31. Pervasive QoL Assessment Health state by performing inference onall the data gathered by theBNCI system, the wearablesensors and the socialcommunications
  • 32. 32 … Conclusions & FutureWork
  • 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. 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. Future Work Data analysis of the data provided by the firsttesting phase Selection of wearable sensors according to userrequirements
  • 36. Acknowledgements BackHome Website: www.Backhome-FP7.eu The research leading to these results has receivedfunding from the European Communitys, SeventhFramework Programme FP7/2007-2013,BackHome project grant agreement n° 288566 Consortium
  • 37. Thanks for yourattention!37evargiu@bdigital.org