Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(762 bytes)
HR09833 12 500 5000
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 -255 15440 0 I
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 115 -32334 0 II
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 370 17753 0 III
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 70 8901 0 aVR
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 -313 32165 0 aVL
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 242 26020 0 aVF
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 -285 -30567 0 V1
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 -180 -28443 0 V2
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 -340 -17723 0 V3
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 -150 -28825 0 V4
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 -320 -29807 0 V5
HR09833.mat 16x1+24 1000.0(0)/mv 16 0 -240 7808 0 V6
# Age: 74
# Sex: Female
# Dx: 164861001,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown