HIGHLIGHTS
- who: Syndrome Detection and colleagues from the College of Electronic Engineering, Heilongjiang University, Harbin, China have published the research: MCFN: A Multichannel Fusion Network for Sleep Apnea Syndrome Detection, in the Journal: Journal of Healthcare Engineering of 23/01/2023
- what: To solve this problem the authors propose a multichannel fusion network (MCFN) which learns the multilevel features through a convolution neural network on diferent respiratory signals and then reconstructs the relationship between feature channels with an attention mechanism. The authors propose a multichannel fusion network (MCFN) to address this problem. The authors design a . . .
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