We propose a deep residual network to detect FoG. Offline analysis performed on a publicly available dataset with 10 patients shows the superiority of the ...
This study proposes a deep residual network to detect FoG and validate it on a publicly available dataset, namely Daphnet dataset [14]. To our best knowledge, a ...
Request PDF | On Dec 1, 2021, Runfeng Miao and others published Detecting Freezing of Gait in Parkinson's Disease Patient via Deep Residual Network | Find, ...
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This study aims to evaluate the generalization capability of deep learning algorithms in freezing of gait detection.
The study proposes to combine deep learning features and manually-selected features to predict freezing of gait (FoG).
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Sep 8, 2019 · This paper presents an approach for detecting FoG episodes utilizing a deep recurrent neural network (RNN) on 3D-accelerometer measurements.
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Apr 28, 2022 · A single plantar pressure sensor placed on the LAS could be used to develop a FOG prediction system and produce performance similar to a bilateral system.
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Aug 1, 2024 · In this paper, we explore different deep learning frameworks (deep convolutional neural networks and an autoencoder-based network) for the automatic detection ...
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Improvement of Performance in Freezing of Gait detection in Parkinson's Disease using Transformer networks and a single waist-worn triaxial accelerometer.
Nov 27, 2021 · This research aimed to determine if LSTM can be used to detect and predict FOG from plantar pressure data alone, specifically for use in a real-time wearable ...
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