1ICAART 201315th February 2013Eloisa VargiuBarcelona DigitalTechnology CenterUser Profiling ofPeople with DisabilitiesA joint work with:Luigi Ceccaroni, Laia Subirats, Suzanne Martin and Felip Miralles
Outline of the talk BackHome Project Telemonitoring and Home Support inBackHome The Challenge: Automated Assessment ofQuality of Life Conclusions & Future Work2
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
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
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.
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
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 … 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.
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
The BackHome ApproachCareCenterHomeUser SocialEnvironmentTMHSSContexts
The BackHome ApproachCareCenterHomeUser SocialEnvironmentTMHSSFunctionalitiesPersonalAutonomyCognitiveRehabilitationSocialAutonomyRemotemonitoringQoL Assessment
The BackHome ApproachCareCenterHomeUser SocialEnvironmentTMHSSPersonalAutonomyCognitiveRehabilitationSocialAutonomyRemotemonitoringQoL AssessmentTechnologiesAmbient IntelligenceAutomaticQuality of LifeAssessmentSystemRemote CognitiveRehabilitationBrain NeuralComputerInterfaceComplementaryInterfaces
The TMHSSSmart-NodesGASTemperatureWearableSensorsGyroECGEMGSmart-objectsTwitterToysAmIAmI is the “glue” technologyproviding the intelligent baseline frameworkRobot
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
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)
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
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 … The ChallengeAutomated Assessment ofQuality of Life
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
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
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.
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.
Pervasive QoL Assessment Mobility through location sensors
Pervasive QoL Assessment Self-care in principle, also self-careactivities can be monitoredby relying on suitablesensors for privacy issues, wedecided to not monitor suchactivities
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
Pervasive QoL Assessment Pain/Discomfort through text miningalgorithms applied on socialnetworking andcommunication activities
Pervasive QoL Assessment Anxiety/Depression through the BNCI system(fatigue, spasticity, stress) through text miningalgorithms applied on socialnetworking andcommunication activities
Pervasive QoL Assessment Health state by performing inference onall the data gathered by theBNCI system, the wearablesensors and the socialcommunications
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
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)
Future Work Data analysis of the data provided by the firsttesting phase Selection of wearable sensors according to userrequirements
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
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