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

File: <base>/training/georgia/g2/E01923.hea (724 bytes) 
E01923 12 500 5000
E01923.mat 16x1+24 1000.0(0)/mV 16 0 -48 14730 0 I
E01923.mat 16x1+24 1000.0(0)/mV 16 0 68 -28613 0 II
E01923.mat 16x1+24 1000.0(0)/mV 16 0 117 22263 0 III
E01923.mat 16x1+24 1000.0(0)/mV 16 0 -9 6890 0 aVR
E01923.mat 16x1+24 1000.0(0)/mV 16 0 -82 29076 0 aVL
E01923.mat 16x1+24 1000.0(0)/mV 16 0 92 29604 0 aVF
E01923.mat 16x1+24 1000.0(0)/mV 16 0 19 -32535 0 V1
E01923.mat 16x1+24 1000.0(0)/mV 16 0 -39 14998 0 V2
E01923.mat 16x1+24 1000.0(0)/mV 16 0 0 -8066 0 V3
E01923.mat 16x1+24 1000.0(0)/mV 16 0 -39 -30815 0 V4
E01923.mat 16x1+24 1000.0(0)/mV 16 0 -29 25470 0 V5
E01923.mat 16x1+24 1000.0(0)/mV 16 0 -9 11500 0 V6
# Age: 64
# Sex: Female
# Dx: 428750005,67741000119109
# Rx: Unknown
# Hx: Unknown