This document summarizes a sensor-based telemonitoring and home support system called TMHSS that aims to improve the quality of life for people with disabilities. The TMHSS uses ambient intelligence technologies, automatic quality of life assessments, and brain-computer interfaces to provide remote monitoring, cognitive rehabilitation, and support for physical and social autonomy at home. A case study of the system involves its implementation for brain-computer interface users in the BackHome project. The system architecture integrates various sensors and smart home devices to remotely collect health data and enable independent living. Future work involves additional testing of the system at users' homes and analyzing the results to validate its ability to assess and support quality of life.
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Improve Quality of Life Through Telemonitoring and BNCI
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. The Aim of the Work
WHAT: To improve Quality of Life
2
HOW: Telemonitoring and Home Support
WHO: BNCI Users
WHERE: BackHome Project
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
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
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. 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
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
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. 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
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
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. 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