Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(714 bytes)
E08439 12 500 5000
E08439.mat 16x1+24 1000.0(0)/mV 16 0 68 -8171 0 I
E08439.mat 16x1+24 1000.0(0)/mV 16 0 -87 -8047 0 II
E08439.mat 16x1+24 1000.0(0)/mV 16 0 -156 1057 0 III
E08439.mat 16x1+24 1000.0(0)/mV 16 0 9 8612 0 aVR
E08439.mat 16x1+24 1000.0(0)/mV 16 0 112 28049 0 aVL
E08439.mat 16x1+24 1000.0(0)/mV 16 0 -122 29252 0 aVF
E08439.mat 16x1+24 1000.0(0)/mV 16 0 -29 -32125 0 V1
E08439.mat 16x1+24 1000.0(0)/mV 16 0 351 -29394 0 V2
E08439.mat 16x1+24 1000.0(0)/mV 16 0 107 26581 0 V3
E08439.mat 16x1+24 1000.0(0)/mV 16 0 -224 -31493 0 V4
E08439.mat 16x1+24 1000.0(0)/mV 16 0 -331 18062 0 V5
E08439.mat 16x1+24 1000.0(0)/mV 16 0 -214 11599 0 V6
# Age: 32
# Sex: Male
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown