OHSU

Tamara Hayes

Tamara Hayes

Email:
Phone: 503 418-9315
Fax: 503 418-9311
Alt Phone: 503 418-9348
Website: http://www.bme.ogi.edu/~hayest

Current Appointment
Associate Professor

Office
Center for Health and Healing
Mail code: CH13B
3303 SW Bond Avenue, Rm #13043
Portland, OR 97239

Education
B.A.Sc. Engineering Science, University of Toronto, 1981
M.A.Sc. Electrical Engineering, University of Toronto, 1990
M.S. Behavioral Neuroscience, University of Pittsburgh, 1990
Ph.D. Neuroscience, University of Pittsburgh, 1994

Research Area
Neuroengineering

Biography
Dr. Hayes received her M.A.Sc. in Electrical Engineering from the University of Toronto in 1990, and her Ph.D. in Neuroscience from the University of Pittsburgh in 1994. After receiving her doctorate she worked at OHSU doing telemedicine research, developing a teledermatology system and doing outcomes research evaluating the use of the system to deliver tertiary dermatology care to rural Oregon. She then worked in industrial software development at Informix and IBM, both as an engineer and a senior manager. She returned to OHSU in 2002 as an Assistant Professor in the newly formed Department of Biomedical Engineering.

Research Interests
Dr. Hayes' research interests include the use of ubiquitous computing to deliver health care in the home, with the goal of changing the current paradigm of clinic-centered healthcare to a model that is less costly, more effective, and allows an individual to participate more fully in their own health care. This work is done collaboratively with other researchers in the Point of Care laboratory, with clinicians and scientists at the Layton Center for Alzheimer's and Aging Research, and with industry partners.

Current projects include a longitudinal study of motor and cognitive change in the elderly, using unobtrusive in-home technology to assess early changes in motor and cognitive function; a 600-person randomized trial examining the use of technology to do more frequent cognitive assessments, with the goal of detecting incident cognitive decline earlier; a study of the use of load cells under the bed to assess sleep apnea and periodic leg movements; maintenance of the ORCATECH Living Laboratory, a cohort of 35 seniors who have agreed to let us use their homes on an ongoing basis to evaluate emerging technologies and conduct pilot studies; and a number of smaller projects examining the use of technology for intervention and support of Instrumental Activities of Daily Living

A great deal of work remains to develop appropriate algorithms for analyzing the data collected from these systems. The data collected form a non-periodic time series that requires sophisticated multi-resolutional approaches to separate acute and chronic changes from normal daily or weekly variability for a given individual. In addition, there are interesting technical challenges to be resolved, including extending the system to work in multi-person homes and ultimately providing real-time analysis, which would allow us to embed intelligent "aids" into the system.

Selected Publications

  • Austin D, Jimison H, Hayes TL, Mattek N, Kaye J. Measuring motor speed through typing: a surrogate for the finger tapping test. Behavior Research Methods. 2011;Online First(15 April 2011).
  • Austin D, Hayes TL, Kaye JA, Mattek N, Pavel M. On the disambiguation of passively measured in-home gait velocities from multi-person smart homes. Journal of Ambient Intelligence and Smart Environments. 2011;3(2):165-74.
  • Kaye JA, Maxwell SA. Mattek N, Hayes T, Dodge H, Pavel M, Jimison H, Wild K, Boise L, & Zitzelberger T. Intelligent Systems for Assessing Aging Changes: Home-Based, Unobtrusive and Continuous Assessment of Aging. Journal of Gerontology: Psychological Sciences, 2011. 66B(suppl 1): i180-i190.
  • Hayes TL, Riley T, Pavel M, Kaye JA. Estimation of Rest-Activity Patterns using Motion Sensors. Proceedings of the 32th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 31 August-4 September, 2010; Buenos Aires, Argentina.
  • Austin D, Leen T, Hayes TL, Kaye JA, Jimison H, Pavel M, Mattek N. Model-Based Inference of Cognitive Processes from Unobtrusive Gait Velocity Measurements. Proceedings of the 32th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 31 August-4 September, 2010; Buenos Aires, Argentina.
  • Hagler S, Austin D, Hayes TL, Kaye J, Pavel M. Unobtrusive and Ubiquitous In-Home Monitoring: A Methodology for Continuous Assessment of Gait Velocity in Elders. IEEE Transactions on Biomedical Engineering, 2010, 57(4), 813-820. PMC2895023.
  • Sano M, Egelko S, Ferris S, Kaye J, Hayes TL, Mundt J, Donahue J, Walter S, Sun S, Sauceda-Cerda, L. Study to Demonstrate the Feasibility of a Multi-Center Trial of Home-Based Assessment of People Over 75 Years Old. Alzheimer Disease & Associated Disorders, 2010, 24(3):256-263.
  • Adami AM, Pavel M, Hayes TL, Singer CM. Detection of Movement in Bed Using Unobtrusive Load Cell Sensors. IEEE Transactions on Information Technology in Biomedicine, 2010, 14(2).
  • Hatt WJ, VanBaak EA, Jimison HB, Hagler S, Hayes TL, Pavel M, Kaye J. The Exploration & Forensic Analysis of Computer Usage Data in the Elderly. Proceedings of the 31th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2-6 September, 2009; Minneapolis, MN, 1216-1219. PMC2846825
  • Hayes TL, Pavel M, Kaye JA. Gathering the Evidence: Supporting large-scale research deployments. Intel Technical Journal, 2009, 13(3), 148-167
  • Hayes TL, Cobbinah K, Dishongh T, et. al. A study of medication-taking and unobtrusive, intelligent reminding. Telemedicine and e-Health, 2009, 15(8): 770-776
  • Beattie ZT, Hagen CC, Pavel M, Hayes TL. Classification of Breathing Events Using Load Cells under the Bed. Proceedings of the 31th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2-6 September, 2009; Minneapolis, MN, 3921-3924.
  • Hayes TL, Larimer N, Adami A, Kaye J. Medication adherence in healthy elders: small cognitive changes make a big difference. Journal of Aging and Health, 2009, 21(4), 567-580. PMC2910516.
  • Hayes TL, Abendroth F, Adami, A, Pavel, M, Zitzelberger TA, Kaye JA. Unobtrusive assessment of activity patterns associated with mild cognitive impairment. Alzheimer"s and Dementia, 2008, 4(6): 395-405. PMC2664300.
  • Kaye JA, Hayes TL, Zitzelberger TA, et al. Deploying wide-scale in-home assessment technology.Technology and Aging, A. Mihailidis, J. Boger, H. Kautz, and L. Normie, Eds., IOS Press, 2008, 21:19-26.
  • Hayes TL, Pavel M, Kaye JA. An approach for deriving continuous health assessment indicators from in-home sensors. Technology and Aging, A. Mihailidis, J. Boger, H. Kautz, and L. Normie, Eds., IOS Press, 2008, 21:130-137.
  • 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.

Related Links

ORCATECH: Oregon Roybal Center for Aging and Technology
This center includes clinicians, technologists, and scientists focused on the study of how unobtrusive technology can be used to to assess health changes and to deliver healthcare to elders in the community. In incorporates the concept of a "living laboratory" in which continuous health assessment becomes an integral part of a person's daily activity.