Advances in Parkinson's Disease
Vol.7 No.2(2018), Paper ID 84978, 12
pages
DOI:10.4236/apd.2018.72003
Implementation of a Smartphone as a Wearable and Wireless Accelerometer and Gyroscope Platform for Ascertaining Deep Brain Stimulation Treatment Efficacy of Parkinson’s Disease through Machine Learning Classification
Robert LeMoyne, Timothy Mastroianni, Cyrus McCandless, Christopher Currivan, Donald Whiting, Nestor Tomycz
Department of Biological Sciences and Center for Bioengineering Innovation, Northern Arizona University, Flagstaff, AZ, USA
Independent, Pittsburgh, PA, USA
Behavioral Science, Sentient Decision Science, Portsmouth, NH, USA
Independent, Pittsburgh, PA, USA
AHN Neuroscience Institute, Department of Neurosurgery, Pittsburgh, PA, USA
AHN Department of Neurosurgery, Pittsburgh, PA, USA
Copyright © 2018 Robert LeMoyne, Timothy Mastroianni, Cyrus McCandless, Christopher Currivan, Donald Whiting, Nestor Tomycz et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
LeMoyne, R. , Mastroianni, T. , McCandless, C. , Currivan, C. , Whiting, D. and Tomycz, N. (2018) Implementation of a Smartphone as a Wearable and Wireless Accelerometer and Gyroscope Platform for Ascertaining Deep Brain Stimulation Treatment Efficacy of Parkinson’s Disease through Machine Learning Classification.
Advances in Parkinson's Disease,
7, 19-30. doi:
10.4236/apd.2018.72003.