Photoplethysmogram based vascular aging assessment using the deep convolutional neural network

HIGHLIGHTS

• who: Hangsik Shin from the DepartmentUniversity of have published the research work: Photoplethysmogram based vascular aging assessment using the deep convolutional neural network, in the Journal: Scientific Reports Scientific Reports
• what: Table 4 shows the correlation coefficient, coefficient of determination, and RMSE of the model developed in this study, compared with the results of previous studies. By intentionally overfitting the model, the authors examined the possibility of improving the performance of the proposed model according to data expansion. Although the results of the training set can be attributed to a larger inter-subject variation and . . .
  

   

  

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