My research is focused on enabling health assessment and caregiving
in the home. With collaborators at ORCATECH and the Point of Care
laboratory, I am developing low-cost technologies to allow
unobtrusive continuous assessment of cognitive and motor changes.
We place sensors in the homes of community-dwelling elders to
monitor daily patterns of activity, walking speeds, medication
adherence, and other behaviors. These sensors collect continuous data
that reflect normal variability in behaviors as well as trends that
may indicate problematic changes in cognition or mobility.
Because data are collected continuously, trends can be identified long
before they would become apparent during a typical clinic visit.
However, the use of low-cost sensors means that the data are inherently
noisy, and extraction of meaningful behavioral data requires sophisticated
statistical and dynamical modeling approaches.
The research has three areas of focus:
- Identifying changes in mobility and medication adherence that provide
early markers of cognitive and/or motor impairment.
These are continuous monitoring studies conducted with seniors living
independently in the community.
- Development of technology (algorithms and systems) to collect
and analyze continuous data from these studies; and
- Creation of tools for visualizing the data, to allow identification
of reduced data representations of particular interest to elders, their
caregivers, and their health professionals.
I currently teach two courses:
BME 565/665
Computational Neurophysiology.
This course is offered as part of the neuroengineering track in the
Department of Biomedical Engineering, and consequently is offered as new
students enter the track.
Last offered Spring 2007:
Click here for the syllabus.
|
CSE 541/641
Database Implementation.
This course was offered annually through the Department of Computer
Science and Electrical Engineering.
Last offered Winter 2006. This course is not currently offered by
the department.
Click here for the syllabus.
|
|
Unobtrusive Continuous In-home Assessment
Use of an in-home wireless sensor network to assess early motor and cognitive changes preceding the onset of Alzheimer's disease.
- Technology/system development: a 16-person cross-sectional pilot study to
develop an unobtrusive in-home system for assessing motor
activity and cognitive change in the elderly, and to assess differences
in activity patterns between healthy seniors and those with Mild
Cognitive Impairment.
Funded by NIA (P30 AG08017)
- A longitudinal study of 300 community-dwelling elders, to evaluate the
efficacy of the system in predicting early cognitive changes in
community-dwelling seniors.
Funded by NIA (Bioengineering Research Partnership)
|
Home-based assessment of cognitive and functional change in the elderly
|
This study will evaluate the ability of home-based assessments
to detect cognitive cognitive change,
and will examine medication adherence as a performance-based measure of
functional ability.
This is a 600 person randomized trial of 3 technologies for assessing
cognitive function: mail-in questionnaires, interactive voice response,
and computer based assessments.
Funded by NIA (through the Alzheimer's Disease Cooperative Study Group)
|
Behavioral Assessment and Intervention Commons
This is a collaborative research model in which
OHSU is partnering with
Intel and other academic institutions to create a "commons" of research
tools and artifacts
relating to behavioral assessment and interventions. The research
is focused on technologies to support independent
living. The OHSU BAIC has multiple projects involving collaborators in
BME, CSEE, Neurology, CSLU, and DMICE.
One of the key components of this research is the Living Lab, a
community-based group of volunteers who have agreed to allow us to test
technologies in their homes. The homes of these volunteers have been outfitted
with numerous sensors (motion sensors, door sensors, RFID tracking devices,
bed mats, medication monitors (the MedTracker), and a home computer which
is also used as a kiosk for administering automated cognitive tests, as
are used in the ADCS study.
The Living Lab is used to conduct pilot studies of new technologies,
which can be evaluated in the context of a fully-characterized home
environment in a population that undergoes regular clinical and
neuropsychological testing.
Funded by Intel
|
Patterns of Medication Adherence
|
A cross-sectional study of the effect of cognitive loss on medication
adherence. This study tracks the activity patterns of 50 elders who are
following
a prescribed vitamin regimen. The study seeks to identify those patterns
of activity leading to missed doses, and to understand the correlation between
medication adherence and early memory loss.
Funded by NIA (P30 AG024978-02)
|
A Medication Tracking and Reminding Device
|
Development of a device for continuous medication monitoring and reminding.
The goal of the project is to improve our ability to assess medication
adherence during clinical trials and as an activity of daily living.
Funded by ORI
|
Early gait speed changes in Parkinson's Disease
|
A pilot study to determine if early gait slowing in PD can be detected using
unobtrusive in-home sensors. We are monitoring three community-dwelling
individuals with early Parkinson's disease to determine if there are
detectable gait slowing in the very earliest stages of Parkinson's Disease.
Funded by Kinetics Corporation
|
Tracking multi-person activity in the home
|
Investigations of technology solutions to the problem of identifying who
is moving through an in-home activity monitoring system. The goal of this
project is to develop unobtrusive methodologies (algorithmic and technology)
for tracking location and activity of multiple people in the same home.
Funded by the Oregon Partnership for Alzheimer's Research.
|
Assessing Sleep and Movement in Bed
Classification of in-bed movements using load cells
PhD Thesis: Adriana Adami, advisors Misha Pavel, Tamara Hayes
|
- Lundell J, Hayes TL, Vurgun S, Ozertem U, Kimel J, Kaye J, Guilak F, Pavel M.
Continuous Activity Monitoring and Intelligent Contextual Prompting to Improve Medication Adherence.
29th Annual International Conference of the IEEE Engineering In Medicine and Biology Society, 23-26 August, 2007, Lyon, France.
- Leen, T, Hayes TL, Zhengdong, L, Kaye JA.
Detection of Early Cognitive Loss from Medication.
2nd International Conference on Technology and Aging (ICTA), Proceedings of FICCDAT 2007, 16-19 June, 2007; Toronto, CA.
- Hayes TL, Pavel M, Kaye JA.
Continuous health assessment using in-home sensors. IOS Press, 2007. 2nd International Conference on Technology and Aging (ICTA), Proceedings of FICCDAT 2007, 16-19 June, 2007; Toronto, CA.
- Pavel M, Hayes TL, Tsay A, Erdogmus W, Paul AS, Larimer N, Jimison H, Nutt J.
Continuous Assessment of Gait Velocity in Parkinsons Disease from Unobtrusive Measurements.
3rd International IEEE EMBS Conference on Neural Engineering, 2 5 May 2007, Hawaii, USA.
- Hayes TL, Pavel M, Adami A, Larimer N, Tsay IA, Nutt J
Pervasive Technology in Distributed Healthcare: Simultaneous Assessment of Multiple Individuals.
IEEE Pervasive Computing, 2007, 6(1):36-43.
- Kaye JA , Hayes, TL,.
Home Health Monitoring.
Generations. 2007
- Hayes TL, Hunt JM, Adami AG, Kaye J.
An electronic pillbox for continuous monitoring of medication adherence.
Presented at 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sep 2006, New York, NY.
-
Pavel M, Hayes TL, Adami AG, Jimison HB, Kaye J.
Unobtrusive assessment of mobility.
Presented at 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sep 2006, New York, NY
-
Pavel M, Adami A, M. Morris M, Lundell J, Hayes TL, Jimison H, Kaye JA.
Mobility Assessment Using Event-Related Responses.
2006 Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, 2-4 April, 2006; Arlington, VA.
-
Adami AM, Hayes TL, Pavel M, Singer CM.
Detection and Classification of Movements in Bed using Load Cells.
27th Annual International Conference of the IEEE Engineering In Medicine And Biology Society, 1-4 September, 2005; Shanghai, China.
-
Hayes TL, Pavel M, Kaye JA.
An Unobtrusive In-home Monitoring System for Detection of Key Motor Changes Preceding Cognitive Decline.
26th Annual International Conference of the IEEE Engineering In Medicine And Biology Society, 1-5 September, 2004; San Francisco, CA.
-
Hayes TL, Pavel M., Schallau PK, Adami AM.
Unobtrusive Monitoring of Health Status in an Aging Population.
5th International Conference on Ubiquitous Computing, October 12-15, 2003; Seattle, WA.
-
Adami AM, Hayes TL, Pavel M. Unobtrusive Monitoring of Sleep Patterns.
25th Annual International Conference of the IEEE Engineering In Medicine And Biology Society, 17-21 September, 2003; Cancun, Mexico.
|
|
