Published on in Vol 5, No 12 (2017): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9177, first published .
Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

Nicholas Shawen   1 * , MS ;   Luca Lonini   1, 2 * , PhD ;   Chaithanya Krishna Mummidisetty   1 , MS ;   Ilona Shparii   1, 3 , MS ;   Mark V Albert   1, 2, 3 , PhD ;   Konrad Kording   4, 5 , PhD ;   Arun Jayaraman   1, 2, 6 , PT, PhD

1 Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL, United States

2 Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States

3 Department of Computer Science, Loyola University Chicago, Chicago, IL, United States

4 Department of Bioengineering, University of Pennsylvania, Philadelphia, IL, United States

5 Department of Neuroscience, University of Pennsylvania, Philadelphia, IL, United States

6 Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States

*these authors contributed equally

Corresponding Author:

  • Luca Lonini, PhD
  • Max Nader Lab for Rehabilitation Technologies and Outcomes Research
  • Shirley Ryan AbilityLab
  • 355 E Erie St
  • Suite #11-1101
  • Chicago, IL, 60611
  • United States
  • Phone: 1 312-238-1619
  • Email: llonini@ricres.org