Detection of Freezing of Gait in Parkinson's Disease by Squeeze-and-Excitation Convolutional Neural Network with Wearable Sensors

Author:

Mekruksavanich Sakorn,Jitpattanakul Anuchit

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Gait-Guard: Turn-aware Freezing of Gait Detection for Non-intrusive Intervention Systems;2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE);2024-06-19

2. Episode-level prediction of freezing of gait based on wearable inertial signals using a deep neural network model;Biomedical Signal Processing and Control;2024-02

3. Parkinson’s Disease Diagnosis Through Deep Learning: A Novel LSTM-Based Approach for Freezing of Gait Detection;Lecture Notes in Networks and Systems;2024

4. A Hybrid Deep Neural Network with Attention Mechanism for Human Activity Recognition Based on Smartphone Sensors;2023 7th International Conference on Information Technology (InCIT);2023-11-16

5. Efficient Recognition of Complex Human Activities Based on Smartwatch Sensors Using Deep Pyramidal Residual Network;2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE);2023-10-26

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