Recap of Our Assisted Living

1
Recap of Our Assisted Living

• Improve the life of elderly people
• Saving cost
• Essential application goals
• Time driven reminders of daily activities
• Localization (Location based memory aids)
• Detection of early warning signs of diseases
• RT communications to caregivers in case of
  emergency

2
Major Research Topics

• A software infrastructure that integrates
  sensing, communication, and event/information
  management
• Software safety, robustness and availability
• Management and control of dependency relations
  between software components
• Evolvability and interoperability
• Interface engineering
• Security and privacy
• Security for information storage and wireless
  communication facilities
• Role-based trust management who can gain access
  to what information
• QoS provisioning
• Both system-wide QoS and wireless QoS for a wide
  variety of reminder, monitoring, localization,
  and time-critical emergency services

3
Our Teams Expertise

• Security
• HCI
• QoS and Real-time
• Reliability and System Integration
• Networking and Communications
• Data mining/analysis

4
Today Meetings Goal

• Survey of similar industry efforts/projects
• Identify the similarities with and differences
  from our assisted living project
• What application(s) they are considering?
• What are the notable components/research
  highlights?
• What we lack?
• Decision should we leverage their results or
  join?
• Divide and conquer different research
  topics/tasks by research groups
• Other discussions
• Targeted scenarios?
• System architecture?
• How to integrate all components?
• Mobile code?
• How about security and privacy?

5
IBM On-Demand Innovation Services
e-Healthcare(http//domino.research.ibm.com/odis/
odis.nsf/pages/micro.07.02.html)

• e-Healthcare solutions
• High-throughput messaging technology data
  integration technology
• Available Services
• Notification of important clinical events
  (similar to reminder)
• using a variety of means protecting patient
  privacy
• Portal-based mobile, integrated access of
  personalized and summarized medical and clinical
  information
• Biometric monitoring of patients and automated
  detection of abnormalities and delivery of
  resulting alerts (Monitoring)
• m-Health (Wireless) domain expertise combined
  with other technologies such as information
  integration, collaboration and mobile
  infrastructure (Data collection and communication)

6
m-Health Wireless(http//www-03.ibm.com/technolo
gy/designconsulting/port_mhealth.html)

• m-Health Wireless Healthcare Solution
• A set of wireless, patient vital-sign-monitoring
  devices.
• A patients critical health statistics are
  automatically measured, stored and transmitted to
  a database during daily routines, emergencies,
  hospital stays or the treatments of chronic
  illnesses.
• Design with good UI

7
Comparisons

• IBM e-Healthcare solution is quite integrative
  and similar to our project.
• Detailed information about IBMs technology is
  not available.
• Seems lacking detailed interoperability function
• Seems lacking QoS and RT communications support
• Security in addition to privacy?

8
IBM Research Home Healthcare Support
System(http//researchweb.watson.ibm.com/hc/SUPPO
RT/support.html)

• Designed to empower and support people with
  chronic disease who are being treated at home
  rather than in a hospital
• Support of information services
• provides consultation and symptom analysis
• demonstrates medical procedures through video.
• User Interface
• Designed for a broad range of users including
  those who can't type or have little computer
  experience.
• Easy to navigate using touch, and supports a
  variety of task-appropriate media including
  audio and video.
• Differences from our project
• No monitoring/motion detection
• No reminder service
• No automatic reports to healthcare provider

9
GE Research Home Assurance(http//geglobalresear
ch.com/01_coretech/homeAssurance.shtml)

• Goal - to provide an unobtrusive watchdog in a
  home that will automatically identify and alert
  caregivers to irregular behavior by the person
  living in the home.
• How it works
• Wireless security sensors placed strategically in
  a home electronically capture and report routine
  movements and activities - the opening and
  closing of doors and motion through rooms like
  bedrooms and kitchens.
• Sophisticated algorithms organize that data into
  models of normal routines for that specific
  household.
• Current activity is constantly compared to the
  model.
• The system generates summary reports of
  activities that a caregiver can monitor via the
  Web, and can also alert them via phone, e-mail or
  pager that something out of the ordinary has
  occurred.
• Long-term trends can be viewed to see if behavior
  is changing over a period of time that would
  indicate a higher level of care is needed.
• Summary
• Focus on data collection and analysis
• No automated reminder

10
Siemens GSM/GPRS for Healthcare
Applications(http//communications.siemens.com/cd
s/frontdoor/0,2241,hq_en_0_2263_rArNrNrNrN,00.html
)

• GSM/GPRS communication technology for
• Helping the chronically ill people
• Data on patients vital functions such as cardiac
  activity or blood-glucose levels are transmitted
  to special service centers, clinics and
  specialists via mobile communications.
• Use in medical emergencies
• Patients can immediately be put in touch with
  emergency staff.
• GSM/GPRS Wireless modules
• TC65 Java open platform ARM7 processor,
  memory, etc.
• TC63 w/o Java developers platform
• XT55 for tracking applications
• Comment
• Just for communication component
• Wireless components that can be used while in
  outside activity.

11
Siemens An Integrative Framework for Home Health
Monitoring

• Research Project with Columbia Univ. GaTech
• The focus of the research
• To study the process of home-healthcare
  monitoring in elderly people with diabetes a
  feasibility study
• The long-term objective
• To develop an integrative home healthcare
  monitoring framework to support chronically ill
  patients to enable them to better manage their
  illness.
• Details are not currently available.

12
Philips Motiva platform(http//www.newscenter.ph
ilips.com/about/news/section-13674/article-15026.h
tml)

• Pilot study of TV-based system for patients to
  manage health at home
• Goal to evaluate an interactive, personalized
  healthcare communication platform
• connects chronic disease patients at home to
  their care provider via their television
• Patients biometric data and survey responses
  will be automatically sent via a secure broadband
  television connection.

13
Honeywell--In-Home Health Care

• Project NIST ATP Independent Lifestyle Assistant
  (ILSA)
• Scenarios Monitoring, localization, reminder,
  reporting
• Research focus Wireless Comm., Sensors, HUI
  (Patients and Caregiver), Central Intelligence
  (Agent based server)
• Devices Motion sensor, Contact switch, Pressure
  mat.
• Field trials 2003
• Pros reduction in missed-medications, elders
  like interactive communications.
• Cons Fault alerts, cost of sensor deployment,
  requires computer-literate

14
HoneywellHomeMed(http//www.hommed.com/)

• Commercial business
• 1 deployed in industry
• 15,000 systems, 300,000 patients
• Benefits
• Reduction (50) in hospitalizations, ER visits
• Patients live in home
• Caregivers in home visit only when required
• Devices
• Telemonitoring unit Collects and transmit data
• Blood pressure, HR, Weight, Temperature, Oxygen
  saturation
• Yes/No questions
• Frequency 3-5 minutes or 1-2 per day.
• Central station Receives data and present to
  caregiver (for monitoring and localization
  purposes etc)
• FDA Class II
• Health and Wellness Kiosk Trans. info. through
  phone line.
• Differences
• Project is simple, limited to the monitoring

15
IntelProactive Health(http//www.intel.com/resea
rch/prohealth/cs-aging_in_place.htm)

• Focus (Project started from 2002)
• Smart home for Alzheimer patients
• Research
• Sensor networks
• Monitoring and localization
• Motion sensors, contact/magnetic switches, RFID,
  motes
• Home networks
• Connect everything (TV, clock, telephone, PC,
  PDA)
• Reminder
• Activity tracking (illness detection)
• AI (dynamic Bayesian networks)
• Translate raw data to trending information
• Ambient display for
• For distance family members to check
• Difference to us
• Not only assistant day-2-day for purposes, but
  also help to maintain social engagements.

16
Today Meetings Goal

• Survey of similar industry efforts/projects
• Identify the similarities with and differences
  from our assisted living project
• What application(s) they are considering?
• What are the notable components/research
  highlights?
• What we lack?
• Decision should we leverage their results or
  join?
• Divide and conquer different research
  topics/tasks by research groups
• Other discussions
• Targeted scenarios?
• System architecture?
• How to integrate all components?
• Mobile code?
• How about security and privacy?