Interpretable Deep Learning Models for Single Trial Prediction of Balance Loss

Author:

Ravindran Akshay Sujatha,Cestari Manuel,Malaya Christopher,John Isaac,Francisco Gerard E.,Layne Charles,Contreras Vidal Jose L

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. An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth;Scientific Reports;2023-10-18

2. Deep Learning Methods for EEG Neural Classification;Handbook of Neuroengineering;2023

3. Direction decoding of physical and visual perturbations from EEG;2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2022-10-26

4. EADTC: An Approach to Interpretable and Accurate Crime Prediction;2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2022-10-09

5. Distinct Kinematic and Neuromuscular Activation Strategies During Quiet Stance and in Response to Postural Perturbations in Healthy Individuals Fitted With and Without a Lower-Limb Exoskeleton;Frontiers in Human Neuroscience;2022-07-15

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