Tamara L Hayes

Summary

Affiliation: Oregon Health and Science University
Country: USA

Publications

  1. pmc A study of medication-taking and unobtrusive, intelligent reminding
    Tamara L Hayes
    Division of Biomedical Engineering Oregon Health and Sciences University, Portland, Oregon 97239, USA
    Telemed J E Health 15:770-6. 2009
  2. pmc Unobtrusive assessment of activity patterns associated with mild cognitive impairment
    Tamara L Hayes
    Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA
    Alzheimers Dement 4:395-405. 2008
  3. pmc Medication adherence in healthy elders: small cognitive changes make a big difference
    Tamara L Hayes
    Division of Biomedical Engineering, Oregon Health and Sciences University, 3303 SW Bond Avenue, Portland, OR 97239, USA
    J Aging Health 21:567-80. 2009
  4. pmc Unobtrusive monitoring of the longitudinal evolution of in-home gait velocity data with applications to elder care
    Daniel Austin
    Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA USA
    Conf Proc IEEE Eng Med Biol Soc 2011:6495-8. 2011
  5. pmc Measuring changes in activity patterns during a norovirus epidemic at a retirement community
    Ian H Campbell
    Biomedical Engineering Division, Oregon Health and Science University, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:6793-6. 2011
  6. pmc Intelligent Systems For Assessing Aging Changes: home-based, unobtrusive, and continuous assessment of aging
    Jeffrey A Kaye
    Department of Neurology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, Oregon 97239 3098, USA
    J Gerontol B Psychol Sci Soc Sci 66:i180-90. 2011
  7. pmc Unobtrusive classification of sleep and wakefulness using load cells under the bed
    Daniel Austin
    Biomedical Engineering Department, Oregon Health and Science University, 3303 SW Bond Ave, Portland, OR 973239, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:5254-7. 2012
  8. pmc Unobtrusive and ubiquitous in-home monitoring: a methodology for continuous assessment of gait velocity in elders
    Stuart Hagler
    Division of Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
    IEEE Trans Biomed Eng 57:813-20. 2010
  9. pmc Model-based inference of cognitive processes from unobtrusive gait velocity measurements
    Daniel Austin
    Department of Biomedical Engineering, Oregon Health and Science University 3303 SW Bond Avenue, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:5230-3. 2010
  10. pmc Estimation of rest-activity patterns using motion sensors
    Tamara L Hayes
    Biomedical Engineering Department BME and the Oregon Center for Aging and Technology ORCATECH, Oregon Health and Science University OHSU, 3303 SW Bond Avenue, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:2147-50. 2010

Collaborators

Detail Information

Publications24

  1. pmc A study of medication-taking and unobtrusive, intelligent reminding
    Tamara L Hayes
    Division of Biomedical Engineering Oregon Health and Sciences University, Portland, Oregon 97239, USA
    Telemed J E Health 15:770-6. 2009
    ..This study indicates that context-aware prompting may provide improved adherence over standard time-based reminders...
  2. pmc Unobtrusive assessment of activity patterns associated with mild cognitive impairment
    Tamara L Hayes
    Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA
    Alzheimers Dement 4:395-405. 2008
    ..We evaluated the use of continuous, long-term, and unobtrusive in-home monitoring to assess neurologic function in healthy and cognitively impaired elders...
  3. pmc Medication adherence in healthy elders: small cognitive changes make a big difference
    Tamara L Hayes
    Division of Biomedical Engineering, Oregon Health and Sciences University, 3303 SW Bond Avenue, Portland, OR 97239, USA
    J Aging Health 21:567-80. 2009
    ..Participants were divided into a group with High Cognitive Function (HCF) or Low Cognitive Function (LCF) based on their scores on the ADAS-Cog...
  4. pmc Unobtrusive monitoring of the longitudinal evolution of in-home gait velocity data with applications to elder care
    Daniel Austin
    Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA USA
    Conf Proc IEEE Eng Med Biol Soc 2011:6495-8. 2011
    ....
  5. pmc Measuring changes in activity patterns during a norovirus epidemic at a retirement community
    Ian H Campbell
    Biomedical Engineering Division, Oregon Health and Science University, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:6793-6. 2011
    ..As detection algorithms improve, these types of measures may be useful in the early detection of a change in health status...
  6. pmc Intelligent Systems For Assessing Aging Changes: home-based, unobtrusive, and continuous assessment of aging
    Jeffrey A Kaye
    Department of Neurology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, Oregon 97239 3098, USA
    J Gerontol B Psychol Sci Soc Sci 66:i180-90. 2011
    ..To describe a longitudinal community cohort study, Intelligent Systems for Assessing Aging Changes, that has deployed an unobtrusive home-based assessment platform in many seniors homes in the existing community...
  7. pmc Unobtrusive classification of sleep and wakefulness using load cells under the bed
    Daniel Austin
    Biomedical Engineering Department, Oregon Health and Science University, 3303 SW Bond Ave, Portland, OR 973239, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:5254-7. 2012
    ..As this performance is over 27 sleep patients with a wide variety of diagnosis levels of sleep disordered breathing, age, body mass index, and other demographics, our method is robust and works well in clinical practice...
  8. pmc Unobtrusive and ubiquitous in-home monitoring: a methodology for continuous assessment of gait velocity in elders
    Stuart Hagler
    Division of Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
    IEEE Trans Biomed Eng 57:813-20. 2010
    ..1 cm/s (SD = 9.1 cm/s) after a simple calibration procedure. Based on the average measured walking speed of 102 cm/s, our system had an average error of less than 7% without calibration and 1.1% with calibration...
  9. pmc Model-based inference of cognitive processes from unobtrusive gait velocity measurements
    Daniel Austin
    Department of Biomedical Engineering, Oregon Health and Science University 3303 SW Bond Avenue, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:5230-3. 2010
    ..The correlation functions appear to capture behavioral differences that can be related to the cognitive functioning of the participants...
  10. pmc Estimation of rest-activity patterns using motion sensors
    Tamara L Hayes
    Biomedical Engineering Department BME and the Oregon Center for Aging and Technology ORCATECH, Oregon Health and Science University OHSU, 3303 SW Bond Avenue, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:2147-50. 2010
    ..Data from this algorithm were highly correlated to ground truth measures (bed mats) and were surprisingly robust to variability in sensor layout and sleep habits...
  11. pmc The exploration & forensic analysis of computer usage data in the elderly
    William J Hatt
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR 97239 3098, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:1216-9. 2009
    ....
  12. ncbi request reprint Unobtrusive assessment of mobility
    Misha Pavel
    Biomed Eng Dept, Oregon Health and Sci Univ, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 1:6277-80. 2006
    ..The assessed mobility can be used to characterize the elder's speed of walking and can serve as one of the predictors of future cognitive functionality and the ability of elders to live independently in their home environment...
  13. pmc Classification of lying position using load cells under the bed
    Zachary T Beattie
    Biomedical Engineering Department, Oregon Health and Science University 3303 SW Bond Avenue, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:474-7. 2011
    ..Our results suggest that load cells utilized in this manner could be successfully implemented into a system that tracks or helps train individuals to sleep in a particular lying position...
  14. doi request reprint Detection of movement in bed using unobtrusive load cell sensors
    Adriana M Adami
    Oregon Health and Science University, Portland, OR 97239, USA
    IEEE Trans Inf Technol Biomed 14:481-90. 2010
    ..The simplicity of the resulting algorithms and their relative insensitivity to the weight and height of the monitored individual make the approach practical and easily deployable in residential and clinical settings...
  15. doi request reprint The role of technology and engineering models in transforming healthcare
    Misha Pavel
    Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
    IEEE Rev Biomed Eng 6:156-77. 2013
    ..The resulting models, in combination with frequent or continuous measurements, are likely to be key components of health interventions to enhance health and wellbeing and the provision of healthcare...
  16. doi request reprint SVM to detect the presence of visitors in a smart home environment
    Johanna Petersen
    Department of Biomedical Engineering, OHSU, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:5850-3. 2012
    ..These preliminary data demonstrate the feasibility of detecting visitors with in-home sensor data, but highlight the need for more advanced modeling techniques so the model performs well for all subjects and all types of visitors...
  17. doi request reprint A method for classification of movements in bed
    Adriana M Adami
    Oregon Health and Science University, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:7881-4. 2011
    ..6% of movements. The unobtrusive aspect of this approach is particularly valuable for longer-term home monitoring against a standard clinical setting...
  18. pmc An electronic pillbox for continuous monitoring of medication adherence
    Tamara L Hayes
    Dept of Biomed Eng, Oregon Health and Sci Univ, Portland, OR, USA
    Conf Proc IEEE Eng Med Biol Soc 1:6400-3. 2006
    ..We report on the design of the MedTracker, and on the results of a field trial in 39 homes to evaluate the device...
  19. pmc Executive function predicts risk of falls in older adults without balance impairment
    Teresa J Buracchio
    Department of Neurology, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, CR 131, Portland, OR 97239 USA
    BMC Geriatr 11:74. 2011
    ..The aim of this study is to investigate the association between executive dysfunction and risk of falling and to determine if this association is independent of balance...
  20. pmc Unobtrusive assessment of walking speed in the home using inexpensive PIR sensors
    Tamara L Hayes
    The Biomedical Engineering division, Oregon Health and Science University, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:7248-51. 2009
    ..We discuss the potential of this approach for continuous assessment...
  21. pmc Classification of breathing events using load cells under the bed
    Zachary T Beattie
    Oregon Health and Science University, Portland, 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:3921-4. 2009
    ..The method correctly classified disordered breathing segments with a sensitivity of 0.77 and a specificity of 0.91...
  22. pmc Accurate scoring of the apnea-hypopnea index using a simple non-contact breathing sensor
    Zachary T Beattie
    Biomedical Engineering, Oregon Health and Science University, Portland, OR 97239, USA
    J Sleep Res 22:356-62. 2013
    ..These results demonstrate the feasibility of using unobtrusive load cells installed under the bed to measure the apnea-hypopnea index...
  23. doi request reprint Wrist actigraphy for scratch detection in the presence of confounding activities
    Johanna Feuerstein
    Department of Biomedical Engineering, Oregon Health and Science University, 3303 SW Bond Avenue, Portland, OR 97239, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:3652-5. 2011
    ..The described method of scratch detection shows promise as an objective method for assessing scratching movements in clinical trials and longitudinal studies of scratch...
  24. doi request reprint Indoor localization using pedestrian dead reckoning updated with RFID-based fiducials
    Samuel House
    School of Electrical Engineering and Computer Sciences, Oregon State University, Corvallis, OR, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:7598-601. 2011
    ..Experimental measurements taken for a 55 m × 20 m 2D floor space indicate an over 1200% improvement in average error rate of the proposed RFID-fused system over dead reckoning alone...