FusionAtt: Deep Fusional Attention Networks for Multi-Channel Biomedical Signals

FusionAtt: Deep Fusional Attention Networks for Multi-Channel Biomedical Signals

Recently, pervasive sensing technologies have been widely applied to comprehensive patient monitoring in order to improve clinical treatment. Various types of biomedical signals collected by different sensing channels provide different aspects of patient health information. However, due to the uncer...

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Bibliographic Details
Main Authors:	Ye Yuan, Kebin Jia
Format:	Article
Language:	English
Published:	MDPI AG 2019-05-01
Series:	Sensors
Subjects:	attention mechanism deep learning biomedical signals feature representation
Online Access:	https://www.mdpi.com/1424-8220/19/11/2429

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