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7. The use of "power levers" at different stages, with examples like mentors,
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7. The use of "power levers" at different stages, with examples like mentors,
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This document discusses self-monitoring and personal informatics. It describes the author's experience with Graves' disease and how self-tracking could have helped detect changes earlier. It discusses motivations for self-tracking over time and challenges with long-term tracking. The research studied a group using a self-tracking device over 7 months and found most stopped after winter due to dependencies on the device and lack of routine formation. Considerations around data privacy, ethics and digital literacy in self-tracking are also covered.
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- A business working group developed ORCID's business plan and membership models. The basic membership is $5,000 per year and allows access to some data and APIs. Premium membership costs more and allows additional access.
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Monitoring People that Need Assistance through a Sensor-based System: Evaluat...Eloisa Vargiu
Decline in daily functioning usually involves the reduction and discontinuity in daily routines; entailing a considerable decrease of the quality of life (QoL). This is especially relevant for people that need assistance, as for instance elderly or disabled people and may also hide pathological (e.g., Alzheimer) and/or mental (e.g., depression or melancholia) conditions. Thus, there is the need to intelligent systems able to monitor users' activities to detect emergencies, recognize activities, send notifications, and provide a summary of all the relevant information. In this paper, we present a sensor-based telemonitoring system that addresses all that issues. Its goal is twofold: (i) helping and supporting people (e.g., elderly or disabled) at home; and (ii) giving a feedback to therapists, caregivers, and relatives about the evolution of the status, behavior and habits of each monitored user. Some features of the system have been evaluated with two health-users in Barcelona and results show good performance. Finally, the system has been adopted and installed in several end-users' homes under the umbrella of the projects SAAPHO and BackHome.
Monitoring People that Need Assistance through a Sensor-based System: Evaluat...
Profiling People with Functional Diversity through a Smart Home Healthcare Monitoring System
1. Preliminary Experience in
BackHome Project
Eloisa Vargiu
Barcelona Digital Technology Center
evargiu@bdigital.org
2. User profiling
Profiling people with functional diversity
Conclusions
DART 2012 @KDIR - October 4, 2012
3. Profiling users comes from the need to
acquire information about habits,
preferences, tastes as well as demographic
data of the users of a service or a system
Profiles can be generated by directly asking
users to fill a questionnaire or inferred by
studying the user behavior in accessing and
interacting with the service/system
DART 2012 @KDIR - October 4, 2012
4. To study the user’s behavior
To make market researches
To improve the provided services
To personalize the provided services
To make some statistics
DART 2012 @KDIR - October 4, 2012
5. Citizens
Shopping center consumers
Internet users
Everybody!
DART 2012 @KDIR - October 4, 2012
6. Demographic data
Personal information
Marriage status
Educational information
Political view
Sports
Hobbies
Health status
Everything!
DART 2012 @KDIR - October 4, 2012
7. City halls
Shopping centers
Online shops
Search engines
Social networks
Everywhere!
DART 2012 @KDIR - October 4, 2012
8. The user is asked to fill a given questionnaire
An automatic system learns the profile
DART 2012 @KDIR - October 4, 2012
9. ...and if the user has health
functional diversities?
DART 2012 @KDIR - October 4, 2012
10. A relevant part of the profile of people with
health diseases is their Quality of Life (QoL)
DART 2012 @KDIR - October 4, 2012
11. 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
DART 2012 @KDIR - October 4, 2012
12. People with functional diversity back home
after a discharge
DART 2012 @KDIR - October 4, 2012
13. 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
DART 2012 @KDIR - October 4, 2012
15. 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
DART 2012 @KDIR - October 4, 2012
16. Physical autonomy
◦ To turn on/off a TV
◦ To open/close a curtain
◦ To set the room temperature
Social autonomy
◦ To communicate with the therapists
◦ To communicate with relatives
◦ To communicate with friends
DART 2012 @KDIR - October 4, 2012
18. 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)
DART 2012 @KDIR - October 4, 2012
19. 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?”
Heterogeneous
information collected by BackHome User
the system health status
DART 2012 @KDIR - October 4, 2012
20. Quality of Life Assessment
DART 2012 @KDIR - October 4, 2012
21. 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
It could become boring and annoying for a
user to answer to them, especially if they are
asked to do that very frequently
DART 2012 @KDIR - October 4, 2012
23. To be compliant with ICF (ICF core sets)
◦ Standardization effort
To rely on existing standard (and well-
known) questionnaire(s)
◦ Do not reinvent the wheel
DART 2012 @KDIR - October 4, 2012
24. International Classification of Functioning,
Disability and Health (ICF) is a classification of
the health components of functioning and
disability
In BackHome, we rely on the ICF core sets for
the etiologies of neurologic origin
◦ Traumatic brain injury
◦ Multiple sclerosis
◦ Spinal cord injury
DART 2012 @KDIR - October 4, 2012
27. The WHOQOL-BREF
RAND-36
SF-36
Barthel ADL index
EQ-5D
…
DART 2012 @KDIR - October 4, 2012
28. WHOQOL-BREF
◦ 26 items
◦ Domains:
Physical health
Psychological health
Social relationships
Environment
DART 2012 @KDIR - October 4, 2012
29. RAND-36
◦ 36 items
◦ Health concepts:
physical functioning
role limitations caused by physical health problems
role limitations caused by emotional problems
social functioning
emotional well-being
energy/fatigue
pain
general health perceptions
DART 2012 @KDIR - October 4, 2012
30. Short Form Health Survey (SF-36)
◦ Includes the same set of items of RAND-36
◦ Commonly used in health economics as a variable
in the quality-adjusted life year calculation to
determine the cost-effectiveness of a health
treatment
DART 2012 @KDIR - October 4, 2012
31. Barthel ADL index
◦ Measures performance in activities of daily living
◦ 10 variables describing activities of daily living and
mobility:
presence or absence of faecal incontinence
presence or absence of urinary incontinence
help needed with grooming
help needed with toilet use
help needed with feeding
help needed with transfers (e.g. from chair to bed)
help needed with walking
help needed with dressing
help needed with climbing stairs
help needed with bathing
DART 2012 @KDIR - October 4, 2012
32. 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
DART 2012 @KDIR - October 4, 2012
33. What is of interest to assess in BackHome
◦ Physical autonomy
◦ Social autonomy
◦ Cognitive rehabilitation
◦ Cognitive stimulation
DART 2012 @KDIR - October 4, 2012
34. What is of interest to assess in BackHome
◦ Physical autonomy
Daily activities
Movements
Transferring from bed to chair and vice versa
Self-care
Mood
Fatigue
Stress
Sense of pain
Anxiety / Depression / Discomfort
◦ Social autonomy
◦ Cognitive rehabilitation
◦ Cognitive stimulation
DART 2012 @KDIR - October 4, 2012
35. What is of interest to assess in BackHome
◦ Physical autonomy
◦ Social autonomy
Physical interactions and communications with relatives,
friends, and therapist
Virtual interactions and communications with relatives,
friends, and therapist
◦ Cognitive rehabilitation
◦ Cognitive stimulation
DART 2012 @KDIR - October 4, 2012
36. What is of interest to assess in BackHome
◦ Physical autonomy
◦ Social autonomy
◦ Cognitive rehabilitation
Performed exercises
Physical state before and after rehabilitation
Mood before and after rehabilitation
◦ Cognitive stimulation
DART 2012 @KDIR - October 4, 2012
37. What is of interest to assess in BackHome
◦ Physical autonomy
◦ Social autonomy
◦ Cognitive rehabilitation
◦ Cognitive stimulation
Painting activities
Music activities
DART 2012 @KDIR - October 4, 2012
41. Monitorable data
◦ Mobility
through location sensors
◦ Usual Activities (housework, education and/or
leisure activities)
through the BNCI system
DART 2012 @KDIR - October 4, 2012
42. Inferable data
◦ Usual Activities (family and friends relationships)
through the support of communication system (e.g.,
Skype)
through the support of social network (i.e., Facebook
and Twitter)
◦ Pain/Discomfort
through text mining algorithms applied on social
networking and communication activities
◦ Anxiety/Depression
through text mining algorithms applied on social
networking and communication activities
DART 2012 @KDIR - October 4, 2012
43. No inferable data
◦ Self-care
in principle, also self-care activities can be monitored
by relying on suitable sensors
for privacy issues, we decide to not monitor such
activities
DART 2012 @KDIR - October 4, 2012
44. Information gathering and fusion of all the
acquired data
To define suitable activities to be monitored
To define suitable data and text mining
algorithms to infer the user behavior
…
DART 2012 @KDIR - October 4, 2012
45. 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
DART 2012 @KDIR - October 4, 2012
46. 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
BackHome consortium
DART 2012 @KDIR - October 4, 2012
47. BackHome website
◦ www.Backhome-FP7.eu
Publications
◦ E. Vargiu, F. Miralles, S. Martin and D. Markey. BackHome:
Assisting and Telemonitoring People with Disabilities. RAatE
2012 - Recent Advances in Assistive Technology &
Engineering, November 26, 2012.
◦ S. Martin, C. Guger, C. Hintermller, D. Markey, F. Miralles, G.R.
Mller-Putz and E. Vargiu. BackHome: Brain-Neural-Computer
Interfaces on Track to Home. RAatE 2012 - Recent
Advances in Assistive Technology & Engineering, November
26, 2012.
DART 2012 @KDIR - October 4, 2012