A novel variational mode decomposition based convolutional neural network for the identification of freezing of gait intervals for patients with Parkinson's disease

Author:

Shaban Mohamed

Publisher

Elsevier BV

Reference93 articles.

1. DeepFoG: An IMU-based detection of freezing of gait episodes in Parkinson's disease patients via deep learning;Bikias;Frontiers in Robotics and AI,2021

2. Prediction of freezing of gait in Parkinson's disease using wearables and machine learning;Borzì;Sensors,2021

3. Context recognition algorithms for energy-efficient freezing-of-gait detection in Parkinson's disease;Borzì;Sensors,2023

4. Real-time detection of freezing of gait in Parkinson's disease using multi-head convolutional neural networks and a single inertial sensor;Borzì;Artificial Intelligence in Medicine,2023

5. Brederecke, J. (2023). Freezing of gait prediction from accelerometer data using a simple 1D-Convolutional neural network – 8th place solution for Kaggle's Parkinson's freezing of gait prediction competition. 10.48550/arXiv.2307.03475.

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