LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams-论文-万方医学网

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LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams

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第一作者： Chowdhury M.H.

作者： Chowdhury M.H. ^[1] ; Reaz M.B.I. ^[1,2,3] ; Shuzan N.I. ^[4] ; Bakar A.A.A. ^[3] ; Chowdhury M.E.H. ^[5] ; Md Ali S.H. ^[6] ; Mahmud S. ; Khan M.S. ; Khandakar A. ; Shapiai M.I.B. ; Rakhtala S.M. ; Murugappan M.

作者单位： Centre of Advanced Electronic and Communication Engineering Department of Electrical Electronic and Systems Engineering Universiti Kebangsaan Malaysia ^[1] Department of Electrical and Electronic Engineering Independent University ^[2] Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia ^[3] Department of Electrical Engineering Qatar University ^[4] Department of Electrical Engineering Faculty of Engineering Golestan University ^[5] Intelligent Signal Processing (ISP) Research Lab Department of Electronics and Communication Engineering Kuwait College of Science and Technology ^[6]

关键词 Convolutional Neural Network (CNN)Encoder-Decoder Heart Rate (HR)Remote Health Monitoring Remote Photoplethysmography (rPPG)

发布时间 2024-04-19

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LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams

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LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams

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