Daniel Austin

Summary

Affiliation: Oregon Health and Science University
Country: USA

Publications

  1. 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
  2. pmc Measuring motor speed through typing: a surrogate for the finger tapping test
    Daniel Austin
    Department of Biomedical Engineering, Oregon Health and Science University, 3303 SW Bond Avenue MC CH13B, Portland, OR 97239, USA
    Behav Res Methods 43:903-9. 2011
  3. 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
  4. 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
  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 One walk a year to 1000 within a year: continuous in-home unobtrusive gait assessment of older adults
    Jeffrey Kaye
    Oregon Center for Aging and Technology, Oregon Health and Science University, Portland, OR 97239 3098, USA
    Gait Posture 35:197-202. 2012
  7. doi request reprint A state-space model for finger tapping with applications to cognitive inference
    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 2012:21-4. 2012
  8. pmc Unobtrusive measurement of daily computer use to detect mild cognitive impairment
    Jeffrey Kaye
    Oregon Center for Aging and Technology, Oregon Health and Science University, Portland, OR, USA Department of Neurology, Oregon Health and Science University, Portland, OR, USA Neurology Service, Portland Veteran Affairs Medical Center, Portland, OR, USA Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA Electronic address
    Alzheimers Dement 10:10-7. 2014
  9. 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
  10. 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

Collaborators

Detail Information

Publications15

  1. 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
    ....
  2. pmc Measuring motor speed through typing: a surrogate for the finger tapping test
    Daniel Austin
    Department of Biomedical Engineering, Oregon Health and Science University, 3303 SW Bond Avenue MC CH13B, Portland, OR 97239, USA
    Behav Res Methods 43:903-9. 2011
    ..70) hands, respectively, in an elderly cohort of subjects living independently. Finally, we discuss how the proposed method for measuring motor speed fits well into the framework of unobtrusive and continuous in-home assessment...
  3. 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...
  4. 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...
  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 One walk a year to 1000 within a year: continuous in-home unobtrusive gait assessment of older adults
    Jeffrey Kaye
    Oregon Center for Aging and Technology, Oregon Health and Science University, Portland, OR 97239 3098, USA
    Gait Posture 35:197-202. 2012
    ..Unobtrusive home walking assessments are ecologically valid measures of walking function. They provide previously unattainable metrics (periodicity, variability, range of minimum and maximum speeds) of everyday motor function...
  7. doi request reprint A state-space model for finger tapping with applications to cognitive inference
    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 2012:21-4. 2012
    ..We evaluate the model by showing a good fit between estimated and actual measurements, and outline an experiment that will relate features from the model to cognitive function...
  8. pmc Unobtrusive measurement of daily computer use to detect mild cognitive impairment
    Jeffrey Kaye
    Oregon Center for Aging and Technology, Oregon Health and Science University, Portland, OR, USA Department of Neurology, Oregon Health and Science University, Portland, OR, USA Neurology Service, Portland Veteran Affairs Medical Center, Portland, OR, USA Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA Electronic address
    Alzheimers Dement 10:10-7. 2014
    ..We sought to determine whether long-term changes in remotely monitored computer use differ in persons with MCI in comparison with cognitively intact volunteers...
  9. 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...
  10. 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...
  11. pmc Regularity and predictability of human mobility in personal space
    Daniel Austin
    Oregon Health and Science University, Department of Biomedical Engineering, Portland, Oregon, United States of America
    PLoS ONE 9:e90256. 2014
    ....
  12. 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...
  13. 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...
  14. doi request reprint An enhanced automatic algorithm for estimation of respiratory variations in arterial pulse pressure during regions of abrupt hemodynamic changes
    Mateo Aboy
    Electrical Engineering Department, Oregon Institute of Technology OIT, Portland, OR 97006, USA
    IEEE Trans Biomed Eng 56:2537-45. 2009
    ..Our results indicate that the proposed algorithm performs considerably better than the PICCO system during regions of abrupt hemodynamic changes...
  15. ncbi request reprint Characterization of sample entropy in the context of biomedical signal analysis
    Mateo Aboy
    Department of Electrical Engineering, Oregon Institute of Technology Portland Campus, Portland, OR, USA
    Conf Proc IEEE Eng Med Biol Soc 2007:5943-6. 2007
    ..In this paper we report the results of a characterization study intended to provide additional insights regarding the interpretability of SampEn in the context of biomedical signal analysis...