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 senso...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.138120-138131
Hauptverfasser:	Esfahani, Ali Haddadi, Dyka, Zoya, Ortmann, Steffen, Langendorfer, Peter
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Data models Feasibility studies Feature extraction Freezing of gait Gait Gait recognition Inertial sensing devices Legged locomotion Long short term memory Machine learning Mathematical models Model testing recurrent neural network Recurrent neural networks Sensors time-series classification Training Wearable computers
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