Impact of Data Preparation in Freezing of Gait Detection Using Feature-Less Recurrent Neural Network

Impact of Data Preparation in Freezing of Gait Detection Using Feature-Less Recurrent Neural Network

Many studies showed the feasibility of detecting Freezing of Gait (FOG) of Parkinson’s patients by using several numbers of inertial sensors worn on the body and in back-end computing power. This work uses machine learning approaches for analyzing the data of one single body-worn inertial...

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Bibliographic Details
Main Authors: Ali Haddadi Esfahani, Zoya Dyka, Steffen Ortmann, Peter Langendorfer
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Freezing of gait
long short term memory
machine learning
recurrent neural network
time-series classification
Online Access:https://ieeexplore.ieee.org/document/9558822/

Internet

https://ieeexplore.ieee.org/document/9558822/

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