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. 2021 Oct 14;8:742640. doi: 10.3389/fcvm.2021.742640

Table 1.

Population characteristics.

CNN training Complete framework
Number 3,445 379
Age (years) 57 ± 16 49 ± 19
Sex (males) 1,911 (55) 228 (60)
Height (cm) 176 ± 32 171 ± 18
Weight (kg) 79 ± 18 80 ± 19
BMI (kg/m2) 27 ± 5 27 ± 7
Ethnicity Caucasian 2,401 (69.7) 231 (60.9)
Afro-Caribbean 172 (5.0) 54 (14.2)
Asian 85 (2.5) 10 (2.6)
Other 21 (0.6) 7 (1.8)
Not stated 766 (22.2) 77 (20.3)
Cardiac pathology Healthy 1,886 (54.7) 68 (17.9)
IHD 315 (9.1) 43 (11.3)
DCM 167 (4.8) 27 (7.1)
HCM 77 (2.2) 16 (4.2)
ACHD 185 (5.4) 59 (15.6)
Valvular 133 (3.9) 37 (9.8)
Vascular 104 (3.0) 32 (8.4)
Arrhythmic 159 (4.6) 26 (6.9)
Other 419 (12.2) 71 (18.7)

Age, sex, height, weight, and cardiac pathology of subjects used for training of CNNs, framework and full pipeline validation. All continuous values are reported as mean ± standard deviation, while categorical variables are reported as number (percentage). ACHD, adult congenital heart disease (excluding valvular and vascular abnormalities); CNN, convolutional neural network; HCM, hypertrophic cardiomyopathy; IHD, ischaemic heart disease; SD, standard deviation.