Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(760 bytes)
E01433 12 500 5000
E01433.mat 16x1+24 1000.0(0)/mV 16 0 312 -28306 0 I
E01433.mat 16x1+24 1000.0(0)/mV 16 0 48 -27605 0 II
E01433.mat 16x1+24 1000.0(0)/mV 16 0 -263 702 0 III
E01433.mat 16x1+24 1000.0(0)/mV 16 0 -180 28257 0 aVR
E01433.mat 16x1+24 1000.0(0)/mV 16 0 287 -14540 0 aVL
E01433.mat 16x1+24 1000.0(0)/mV 16 0 -107 -13412 0 aVF
E01433.mat 16x1+24 1000.0(0)/mV 16 0 -146 -6306 0 V1
E01433.mat 16x1+24 1000.0(0)/mV 16 0 9 -27306 0 V2
E01433.mat 16x1+24 1000.0(0)/mV 16 0 68 20492 0 V3
E01433.mat 16x1+24 1000.0(0)/mV 16 0 1190 -6006 0 V4
E01433.mat 16x1+24 1000.0(0)/mV 16 0 897 -26956 0 V5
E01433.mat 16x1+24 1000.0(0)/mV 16 0 829 -18464 0 V6
# Age: 53
# Sex: Male
# Dx: 59118001,67741000119109,6374002,425623009,164934002
# Rx: Unknown
# Hx: Unknown