Haku
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End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography
(Institute of physics publishing, 2022)
The purpose of this research is to develop a new deep learning framework for detecting atrial fibrillation (AFib), one of the most common heart arrhythmias, by analyzing the heart’s mechanical functioning as reflected in ...
