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Rolf Hansen

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ID: determining-the-respiratory-state-from-a-seismocardiographic-signal--a-machine-learning-approach2018

Determining the Respiratory State From a Seismocardiographic Signal--A Machine Learning Approach

This study shows that chest vibrations from the heart (SCG signals) can predict breathing patterns using advanced machine learning, with neural networks being the most accurate method. This could help monitor breathing and heart health more easily and affordably.

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