Development of Symbolic Signal Processing and Transformer Models for Predicting Respiratory System Mechanics in Mechanical Ventilation-Reference-Cited by-同舟云学术

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Development of Symbolic Signal Processing and Transformer Models for Predicting Respiratory System Mechanics in Mechanical Ventilation

Published:2023-10-28 Issue: Volume: Page:
ISSN:
Container-title:2023 15th Biomedical Engineering International Conference (BMEiCON)
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Author:

Junwei Yang¹,Numthavaj Pawin¹,Pattanateepapon Anuchate¹,Puttanawarut Chanon²,Junhasavasdikul Detajin³

Affiliation:

1. Mahidol University,Faculty of Medicine Ramathibodi Hospital,Department of Clinical Epidemiology and Biostatistics,Bangkok,Thailand

2. Mahidol University,Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital,Samut Prakan,Thailand

3. Mahidol University,Faculty of Medicine Ramathibodi Hospital,Department of Medicine,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10321955/10321820/10322095.pdf?arnumber=10322095

Reference19 articles.

1. Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

2. Attention is all you need;vaswani;Advances in neural information processing systems,2017

3. Google's neural machine translation system: Bridging the gap between human and machine translation;wu,2016

4. Transformers in Vision: A Survey

5. Convolutional Neural Network for Respiratory Mechanics Estimation during Pressure Support Ventilation

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