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Citing this Article

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Published on 11.10.17 in Vol 5, No 10 (2017): October

This paper is in the following e-collection/theme issue:

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

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.8201):

(note that this is only a small subset of citations)

  1. Sczuka KS, Schwickert L, Becker C, Klenk J. Re-Enactment as a Method to Reproduce Real-World Fall Events Using Inertial Sensor Data: Development and Usability Study. Journal of Medical Internet Research 2020;22(4):e13961
  2. Bhakta K, Camargo J, Donovan L, Herrin K, Young A, Valdastri P, Rouse E. Machine Learning Model Comparisons of User Independent & Dependent Intent Recognition Systems for Powered Prostheses. IEEE Robotics and Automation Letters 2020;:1
  3. Albert MV, Sugianto A, Nickele K, Zavos P, Sindu P, Ali M, Kwon S. Hidden Markov model-based activity recognition for toddlers. Physiological Measurement 2020;41(2):025003
  4. Chadwell A, Diment L, Micó-Amigo M, Morgado Ramírez DZ, Dickinson A, Granat M, Kenney L, Kheng S, Sobuh M, Ssekitoleko R, Worsley P. Technology for monitoring everyday prosthesis use: a systematic review. Journal of NeuroEngineering and Rehabilitation 2020;17(1)
  5. Boe AJ, McGee Koch LL, O’Brien MK, Shawen N, Rogers JA, Lieber RL, Reid KJ, Zee PC, Jayaraman A. Automating sleep stage classification using wireless, wearable sensors. npj Digital Medicine 2019;2(1)