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Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's
  Disease using Deep Recurrent Neural Networks

Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks

8 September 2019
Spyroula Masiala
W. Huijbers
M. Atzmüller
ArXiv (abs)PDFHTML

Papers citing "Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks"

3 / 3 papers shown
Graph Neural Networks for Multivariate Time Series Regression with
  Application to Seismic Data
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic DataInternational Journal of Data Science and Analysis (JDSA), 2022
Stefan Bloemheuvel
Jurgen van den Hoogen
Dario Jozinović
A. Michelini
Martin Atzmueller
AI4TS
442
67
0
03 Jan 2022
Classification of anomalous gait using Machine Learning techniques and
  embedded sensors
Classification of anomalous gait using Machine Learning techniques and embedded sensors
T. R. D. Sa
C. Figueiredo
148
0
0
08 Oct 2021
Automated freezing of gait assessment with marker-based motion capture
  and multi-stage spatial-temporal graph convolutional neural networks
Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networksJournal of NeuroEngineering and Rehabilitation (JNER), 2021
Benjamin Filtjens
Pieter Ginis
A. Nieuwboer
P. Slaets
Bart Vanrumste
256
32
0
29 Mar 2021
1
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