Comparison of state-of-the-art deep learning architectures for detection of freezing of gait in Parkinson’s disease

IntroductionFreezing of gait (FOG) is one of the most debilitating motor symptoms experienced by patients with Parkinson’s disease (PD). FOG detection is possible using acceleration data from wearable sensors, and a convolutional neural network (CNN) is often used to determine the presence of FOG ep...

詳細記述

書誌詳細

主要な著者:	Emilie Charlotte Klaver, Irene B. Heijink, Gianluigi Silvestri, Jeroen P. P. van Vugt, Sabine Janssen, Jorik Nonnekes, Richard J. A. van Wezel, Marleen C. Tjepkema-Cloostermans
フォーマット:	Artigo
言語:	Inglês
出版事項:	Frontiers Media S.A. 2023-12-01
シリーズ:	Frontiers in Neurology
主題:	Parkinson’s disease freezing of gait wearable sensors accelerometer convolutional neural network InceptionTime
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fneur.2023.1306129/full
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!