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

Nicholas Shawen; Luca Lonini; Chaithanya Krishna Mummidisetty; Ilona Shparii; Mark V Albert; Konrad Kording; Arun Jayaraman

doi:10.2196/mhealth.9177

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

JMIR Mhealth Uhealth. 2017 Dec 20;5(12):e167. doi: 10.2196/mhealth.9177.

Authors

Nicholas Shawen^#¹, Luca Lonini^#^{1

2}, Chaithanya Krishna Mummidisetty¹, Ilona Shparii^{1

3}, Mark V Albert^{1

2

3}, Konrad Kording^{4

5}, Arun Jayaraman^{1

2

6}

Affiliations

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.

^# Contributed equally.

Abstract

[This corrects the article DOI: 10.2196/mhealth.8201.].

Keywords: fall detection; lower limb amputation; machine learning; mobile phones.

©Nicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, Ilona Shparii, Mark V Albert, Konrad Kording, Arun Jayaraman. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 20.12.2017.

Publication types

Published Erratum