Transcript Home Health Care and Assisted Living

Home Health Care and Assisted Living
John Stankovic, Sang Son, Kamin Whitehouse
A.Wood, Z. He, Y. Wu, T. Hnat, S. Lin, V. Srinivasan
Department of Computer Science, University of Virginia
AlarmNet is a wireless sensor network (WSN) system for smart health-care that opens up new opportunities for continuous health monitoring in assisted-living or
residential facilities. It provides real-time (24/7) access to physiological and environmental data, tracks long-term changes in behavioral patterns, and allows ad hoc
deployment in existing structures. Results demonstrate a strong potential for improved quality of medical care.
Improve Quality of Life
• Patient Autonomy and Comfort
• Cognitive Assistance
• Nutrition and Hygiene Monitoring
Improve Health Care
• Disease Specific Monitoring
• Monitor Compliance with Treatment
• Smart Clothes - unobtrusive
Resident Health Remote Monitoring
• Real-time and wireless (24/7)
• Long-term for longitudinal studies
Climate Monitoring
• Environmental conditions control
• Pollution detection
Security
• Detection of at-risk medical situations
• Alert triggering
Privacy
• Variable depending on medical situation
A PDA displays patient vitals and facility
status in real-time.
Pills
Video cameras
Motion sensors
Backbone nodes
Motes (emplaced WSN)
Wearable displays present
reminders, alerts, and
current sensor data to
patients or technicians.
A body network
records activities such
as walking, eating and
stillness using five 2axis accelerometers
embedded in a jacket.
A GPS tracks outdoor
location.
Body
scale
Wearable pulse and
oximetry sensor
Harvard University
Micro-ECG
Medical Automation Research Center
Bed sensor. Uses an
unobtrusive air bladder
to record respiration
Blood pressure and
and heart rates while
heart rate sensor
resident is sleeping.
Data are
transmitted
securely in
networks, and
are subject to
privacy policies.
Motion
sensors.
Located in
each room
to track
resident
locations.
In the back-end of the system, a medical
application monitors the Circadian Activity
Rhythms (CAR) to extract activity patterns
and detect behavioral anomalies.
MTS-310 (Crossbow)
Indoor temperature
and light sensors
Wearable Body Networks. Collect physiological data targeted to
a particular medical condition.
Emplaced Sensor Network. Wireless
devices deployed in the assisted-living or
residential environment (rooms, furniture,
appliances) connected to a backbone
network and database.
Backbone. Connects traditional systems,
such as PDAs, PCs, and in-network databases,
to the emplaced sensor network. Nodes
possess significant storage and computation
capability, for query processing and location
services. Manages background queries and
protects real-time queries with privacy
policies.
Wearable
Interfaces:
LCD Mote
Body networks:
Pulse, EKG
Emplaced Sensor Network
Backbone
Caregiver Interfaces:
PC, PDA
Back-end
Database
Back-end Databases. Back-end databases are located at the control center
for long-term archiving, monitoring, and data mining for longitudinal studies.
Wireless Sensor Networks Technology. Heterogeneous power
management depending on the patterns of the resident, topology
management, reliable routing, network arbitration, data aggregation.
Dynamic Privacy. The system monitors and collects patient data,
subject to privacy policies, depending on the current behavioral status
of the resident, and detected anomalies.
Security. Security mechanisms are present throughout the system.
Data association. To know who is doing what in a system where
biometric identification is not always accessible and where multiple
persons may be present in the same place at the same time.
Data fusion. Back-end software programs to analyze autonomy,
behavior and health status of each resident.