Towards Interpretable Seizure Detection Using Wearables-Reference-Cited by-同舟云学术

Towards Interpretable Seizure Detection Using Wearables

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Al-Hussaini Irfan¹,Mitchell Cassie S.¹

Affiliation:

1. Georgia Institute of Technology

Funder

National Science Foundation

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10097091.pdf?arnumber=10097091

Reference9 articles.

1. Performance and utility trade-off in interpretable sleep staging;al-hussaini;NeurIPS 2022 Workshop on Learning from Time Series for Health,2022

2. Do not sleep on traditional machine learning

3. Objective Evaluation Metrics for Automatic Classification of EEG Events

4. Chrononet: a deep recurrent neural network for abnormal eeg identification;roy;Artificial Intelligence in Medicine 17th Conference on Artificial Intelligence in Medicine AIME 2019,2019

5. SeizeIT1;chatzichristos,2023

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1. Efficient Approach for Epileptic Seizure Classification and Detection based on Genetic Algorithm with CNN-RNN Classifier;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

2. An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia;Journal of Clinical Medicine;2024-03-20

3. Towards Automated Seizure Detection With Wearable EEG – Grand Challenge;IEEE Open Journal of Signal Processing;2024

4. SeizFt: Interpretable Machine Learning for Seizure Detection Using Wearables;Bioengineering;2023-08-02