Shahrokh Shahi on Muck Rack

Shahrokh Shahi

As seen in: AIP Publishing
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Articles

A machine-learning approach for long-term prediction of experimental cardiac action potential time series using an autoencoder and echo state networks

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By Flavio H. Fenton, Elizabeth Cherry, Shahrokh Shahi
| AIP Publishing
Computational modeling and experimental/clinical prediction of the complex signals during cardiac arrhythmias have the potential to lead to new approaches for prevention and treatment. Machine-learning (ML) and deep-learning approaches can be used for time-series forecasting and have recently been applied to cardiac electrophysiology.
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