TAMARA contact HAYES
Affiliation: Oregon Health and Science University
- An electronic pillbox for continuous monitoring of medication adherenceTamara 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...
- Unobtrusive assessment of walking speed in the home using inexpensive PIR sensorsTamara 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...
- Estimation of rest-activity patterns using motion sensorsTamara 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...
- Classification of breathing events using load cells under the bedZachary 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...
- Model-based inference of cognitive processes from unobtrusive gait velocity measurementsDaniel 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...
- Unobtrusive and ubiquitous in-home monitoring: a methodology for continuous assessment of gait velocity in eldersStuart 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...
- Detection of movement in bed using unobtrusive load cell sensorsAdriana 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...
- A study of medication-taking and unobtrusive, intelligent remindingTamara 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...
- The exploration & forensic analysis of computer usage data in the elderlyWilliam 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....
- Unobtrusive assessment of mobilityMisha 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...
- Medication adherence in healthy elders: small cognitive changes make a big differenceTamara 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...
- Continuous activity monitoring and intelligent contextual prompting to improve medication adherenceJay Lundell
Digital Health Group at Intel Corporation, 20270 NW, Amberglen Ct, AG1 102, Beaverton, OR 97229, USA
Conf Proc IEEE Eng Med Biol Soc 2007:6287-90. 2007..A case study from our initial deployment of the system to eleven older adults illustrates the possibilities and advantages of context aware prompting systems...