Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment

Björn M. Eskofier, Sunghoon Ivan Lee, Jean-Francois Daneault, Fatemeh Noushin Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato. Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment. In 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, FL, USA, August 16-20, 2016. pages 655-658, IEEE, 2016. [doi]

@inproceedings{EskofierLDGFVSC16,
  title = {Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment},
  author = {Björn M. Eskofier and Sunghoon Ivan Lee and Jean-Francois Daneault and Fatemeh Noushin Golabchi and Gabriela Ferreira-Carvalho and Gloria Vergara-Diaz and Stefano Sapienza and Gianluca Costante and Jochen Klucken and Thomas Kautz and Paolo Bonato},
  year = {2016},
  doi = {10.1109/EMBC.2016.7590787},
  url = {http://dx.doi.org/10.1109/EMBC.2016.7590787},
  researchr = {https://researchr.org/publication/EskofierLDGFVSC16},
  cites = {0},
  citedby = {0},
  pages = {655-658},
  booktitle = {38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, FL, USA, August 16-20, 2016},
  publisher = {IEEE},
  isbn = {978-1-4577-0220-4},
}