Published on in Vol 5, No 10 (2017): October
![Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications](https://asset.jmir.pub/assets/3387891f825687b63939e08b880ecc13.png 480w,https://asset.jmir.pub/assets/3387891f825687b63939e08b880ecc13.png 960w,https://asset.jmir.pub/assets/3387891f825687b63939e08b880ecc13.png 1920w,https://asset.jmir.pub/assets/3387891f825687b63939e08b880ecc13.png 2500w)
1 Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL, United States
2 Center for Bionic Medicine, Shirley Ryan AbilityLab, Chicago, IL, United States
3 Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States
4 Department of Computer Science, Loyola University Chicago, Chicago, IL, United States
5 Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States
6 Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, United States
7 Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States
*these authors contributed equally