Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g9/E08583.hea (713 bytes) 
E08583 12 500 5000
E08583.mat 16x1+24 1000.0(0)/mV 16 0 -97 6597 0 I
E08583.mat 16x1+24 1000.0(0)/mV 16 0 -87 -24265 0 II
E08583.mat 16x1+24 1000.0(0)/mV 16 0 9 -31409 0 III
E08583.mat 16x1+24 1000.0(0)/mV 16 0 92 -24105 0 aVR
E08583.mat 16x1+24 1000.0(0)/mV 16 0 -53 19144 0 aVL
E08583.mat 16x1+24 1000.0(0)/mV 16 0 -39 5254 0 aVF
E08583.mat 16x1+24 1000.0(0)/mV 16 0 58 -29622 0 V1
E08583.mat 16x1+24 1000.0(0)/mV 16 0 -58 -26530 0 V2
E08583.mat 16x1+24 1000.0(0)/mV 16 0 -126 -19757 0 V3
E08583.mat 16x1+24 1000.0(0)/mV 16 0 -87 17253 0 V4
E08583.mat 16x1+24 1000.0(0)/mV 16 0 -87 -8352 0 V5
E08583.mat 16x1+24 1000.0(0)/mV 16 0 -87 22204 0 V6
# Age: 51
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown