Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(704 bytes)
E00254 12 500 5000
E00254.mat 16x1+24 1000.0(0)/mV 16 0 48 -2884 0 I
E00254.mat 16x1+24 1000.0(0)/mV 16 0 -58 5525 0 II
E00254.mat 16x1+24 1000.0(0)/mV 16 0 -107 8486 0 III
E00254.mat 16x1+24 1000.0(0)/mV 16 0 4 -1506 0 aVR
E00254.mat 16x1+24 1000.0(0)/mV 16 0 78 -5501 0 aVL
E00254.mat 16x1+24 1000.0(0)/mV 16 0 -82 7100 0 aVF
E00254.mat 16x1+24 1000.0(0)/mV 16 0 34 10439 0 V1
E00254.mat 16x1+24 1000.0(0)/mV 16 0 -68 9131 0 V2
E00254.mat 16x1+24 1000.0(0)/mV 16 0 -87 -6338 0 V3
E00254.mat 16x1+24 1000.0(0)/mV 16 0 -126 15241 0 V4
E00254.mat 16x1+24 1000.0(0)/mV 16 0 -92 10452 0 V5
E00254.mat 16x1+24 1000.0(0)/mV 16 0 -78 3233 0 V6
# Age: 56
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown