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

Table 3 The number of blood pressure measurements and cross-validation

Subject and experiment	Number of blood pressure measurements	Number of cross-validation
Sub.A_1st	17	16
Sub.A_2nd	20	20
Sub.A_3rd	17	15
Sub.B_1st	18	14
Sub.B_2nd	19	16
Sub.B_3rd	19	14
Sub.B_4th	18	15
Sub.B_5th	19	15
Sub.C_1st	17	16
Sub.C_2nd	18	15

“Sub.A_1st” in the table indicates the first experiment of Subject A. The number of cross-validations was less than the number of blood pressure measurements due to the exclusion of some data from the analysis since the subjects’ faces were hidden during the blood pressure measurements

ISSN: 2059-1381