Mark V Albert

Summary

Publications

  1. pmc Fall classification by machine learning using mobile phones
    Mark V Albert
    Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois, USA
    PLoS ONE 7:e36556. 2012
  2. pmc Determining posture from physiological tremor
    Mark V Albert
    Department of Physical Medicine and Rehabilitation, Rehabilitation Institute of Chicago, Northwestern University, 345 E Superior St, Room 1479, Chicago, IL 60611, USA
    Exp Brain Res 215:247-55. 2011
  3. ncbi request reprint Monitoring daily function in persons with transfemoral amputations using a commercial activity monitor: a feasibility study
    Mark V Albert
    Center for Bionic Medicine, Rehabilitation Institute of Chicago, Chicago, IL Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL Department of Computer Science, Loyola University Chicago, Chicago, IL Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL Max Nader, Center for Rehabilitation Technologies and Outcomes Research, Rehabilitation Institute of Chicago, Chicago, IL Electronic address
    PM R 6:1120-7. 2014
  4. pmc Monitoring functional capability of individuals with lower limb amputations using mobile phones
    Mark V Albert
    Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois, USA
    PLoS ONE 8:e65340. 2013
  5. pmc Hand, belt, pocket or bag: Practical activity tracking with mobile phones
    Stephen A Antos
    Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL, USA Electronic address
    J Neurosci Methods 231:22-30. 2014
  6. pmc Wii Fit balance board playing improves balance and gait in Parkinson disease
    Priya V Mhatre
    Rehabilitation Institute of Chicago, Chicago, IL Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL
    PM R 5:769-77. 2013

Collaborators

  • Arun Jayaraman
  • Stephen A Antos
  • Priya V Mhatre
  • Konrad P Kording
  • Stacy M Stibb
  • Iris Vilares
  • Christina M Marciniak
  • Laura Pickering
  • Santiago Toledo
  • Konrad Kording

Detail Information

Publications6

  1. pmc Fall classification by machine learning using mobile phones
    Mark V Albert
    Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois, USA
    PLoS ONE 7:e36556. 2012
    ..This work demonstrates how current machine learning approaches can simplify data collection for prevention in fall-related research as well as improve rapid response to potential injuries due to falls...
  2. pmc Determining posture from physiological tremor
    Mark V Albert
    Department of Physical Medicine and Rehabilitation, Rehabilitation Institute of Chicago, Northwestern University, 345 E Superior St, Room 1479, Chicago, IL 60611, USA
    Exp Brain Res 215:247-55. 2011
    ..This new method allows the estimation of body posture from tremor, is complementary to other techniques, and so can become a useful tool for future research and clinical applications...
  3. ncbi request reprint Monitoring daily function in persons with transfemoral amputations using a commercial activity monitor: a feasibility study
    Mark V Albert
    Center for Bionic Medicine, Rehabilitation Institute of Chicago, Chicago, IL Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL Department of Computer Science, Loyola University Chicago, Chicago, IL Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL Max Nader, Center for Rehabilitation Technologies and Outcomes Research, Rehabilitation Institute of Chicago, Chicago, IL Electronic address
    PM R 6:1120-7. 2014
    ..To assess in a feasibility study the mobility of persons with transfemoral amputations using data collected from a popular, consumer-oriented activity monitor (Fitbit)...
  4. pmc Monitoring functional capability of individuals with lower limb amputations using mobile phones
    Mark V Albert
    Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois, USA
    PLoS ONE 8:e65340. 2013
    ..Quantifying everyday activity promises to improve assessment of real world prosthesis use, leading to a better matching of prostheses to individuals and enabling better evaluations of future prosthetic devices...
  5. pmc Hand, belt, pocket or bag: Practical activity tracking with mobile phones
    Stephen A Antos
    Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL, USA Electronic address
    J Neurosci Methods 231:22-30. 2014
    ..Our research enables the use of phones as activity tracking devices, without the need of previous approaches to instruct subjects to always carry the phone in the same location...
  6. pmc Wii Fit balance board playing improves balance and gait in Parkinson disease
    Priya V Mhatre
    Rehabilitation Institute of Chicago, Chicago, IL Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL
    PM R 5:769-77. 2013
    ..To assess the effect of exercise training by using the Nintendo Wii Fit video game and balance board system on balance and gait in adults with Parkinson disease (PD)...