GRU Neural Network Improved Bioimpedance Based Stroke Volume Estimation during Ergometry Stress Test.

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作者： Mike,Urban ^[1] ; Michael,Klum ^[2] ; Alexandru-Gabriel,Pielmus ^[1] ; Falk,Liebrenz ^[1] ; Steffen,Mann ^[2] ; Timo,Tigges ^[2] ; Reinhold,Orglmeister ^[1]

作者单位： Department of Electronics and Medical Signal Processing, Technische Universität Berlin, Einsteinufer 17, 10587 Berlin, Germany. ^[1] Department of Research and Development, Osypka Medical GmbH, Albert-Einstein-Straße 3, 12489 Berlin, Germany. ^[2]

关键词 ECG GRU neural network ICG bioimpedance cardiac output cardiovascular diseases hemodynamic parameters impedance cardiography signal processing stroke volume

主题词人类(Humans);每搏输出量(Stroke Volume);心动描记术, 阻抗(Cardiography, Impedance);运动试验(Exercise Test);算法(Algorithms)

DOI 10.3390/s22207883

PMID 36298239

发布时间 2022-10-30

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