Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(710 bytes)
E08402 12 500 5000
E08402.mat 16x1+24 1000.0(0)/mV 16 0 -68 -11513 0 I
E08402.mat 16x1+24 1000.0(0)/mV 16 0 -9 1668 0 II
E08402.mat 16x1+24 1000.0(0)/mV 16 0 58 13921 0 III
E08402.mat 16x1+24 1000.0(0)/mV 16 0 39 4814 0 aVR
E08402.mat 16x1+24 1000.0(0)/mV 16 0 -63 -12328 0 aVL
E08402.mat 16x1+24 1000.0(0)/mV 16 0 24 7869 0 aVF
E08402.mat 16x1+24 1000.0(0)/mV 16 0 68 -13696 0 V1
E08402.mat 16x1+24 1000.0(0)/mV 16 0 68 23430 0 V2
E08402.mat 16x1+24 1000.0(0)/mV 16 0 29 21557 0 V3
E08402.mat 16x1+24 1000.0(0)/mV 16 0 19 25723 0 V4
E08402.mat 16x1+24 1000.0(0)/mV 16 0 0 6971 0 V5
E08402.mat 16x1+24 1000.0(0)/mV 16 0 19 24869 0 V6
# Age: 61
# Sex: Male
# Dx: 428417006,270492004
# Rx: Unknown
# Hx: Unknown