Jun 20, 2023 · A deep generative model based on transformer neural networks is proposed to enable SCG dataset augmentation with control over features such as aortic opening ( ...
Methods: A deep generative model based on transformer neural networks is proposed to enable SCG dataset augmentation with control over features such as aortic ...
Apr 13, 2023 · More realistic: The transformer-based generative model synthesizes SCG beats that are more similar to real human SCG beats than porcine SCG ...
Cited by ; Synthetic seismocardiogram generation using a transformer-based neural network. M Nikbakht, AH Gazi, J Zia, S An, DJ Lin, OT Inan, R Kamaleswaran.
People also ask
What is a transformer-based neural network?
Are transformers recurrent neural networks?
What do feed forward neural networks do in the context of transformer models?
Third approach is similar to the second, since it uses a transformer-based neural network trained with real SCG heartbeats to generate synthetic beats [2].
Synthetic seismocardiogram generation using a transformer-based neural network. ... Utilizing neural networks to predict freezing of gait in Parkinson's patients.
We introduce a deep generative model, leveraging transformer neural networks ... Synthetic seismocardiogram generation using a transformer-based neural network.
Co-authors ; Synthetic seismocardiogram generation using a transformer-based neural network. M Nikbakht, AH Gazi, J Zia, S An, DJ Lin, OT Inan, R Kamaleswaran.
Kamaleswaran, “Synthetic Seismocardiogram Generation Using a Transformer-Based Neural Network,” Journal of the American Medical Informatics Association (JAMIA), ...
Synthetic seismocardiogram generation using a transformer-based neural network. Journal of the American Medical Informatics Association. 2023-06-20 | Journal ...