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Table 4 RMSE and correlation coefficient (r) between estimated and measured MBP

From: Applicability of deep learning for blood pressure estimation during hemodialysis based on facial images

Subject and experiment

Facial visible images

Facial infrared images

RMSE [mmHg]

r

RMSE [mmHg]

r

Sub.A_1st

17.39

− 0.092

13.69

0.472

Sub.A_2nd

10.17

− 0.037

7.47

0.558

Sub.A_3rd

6.57

0.117

7.32

−0.175

Sub.B_1st

13.71

0.045

13.20

0.016

Sub.B_2nd

8.29

− 0.006

8.59

0.327

Sub.B_3rd

8.84

0.467

6.46

0.715

Sub.B_4th

11.42

0.196

16.44

−0.092

Sub.B_5th

8.57

0.233

7.05

0.406

Sub.C_1st

8.81

− 0.277

8.58

0.032

Sub.C_2nd

5.82

− 0.085

7.10

− 0.124

  1. “Sub.A_1st” in the table indicates the first experiment of Subject A