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

File: <base>/training/georgia/g10/E09939.hea (711 bytes) 
E09939 12 500 5000
E09939.mat 16x1+24 1000.0(0)/mV 16 0 -58 -1360 0 I
E09939.mat 16x1+24 1000.0(0)/mV 16 0 -19 22887 0 II
E09939.mat 16x1+24 1000.0(0)/mV 16 0 39 24805 0 III
E09939.mat 16x1+24 1000.0(0)/mV 16 0 39 -10873 0 aVR
E09939.mat 16x1+24 1000.0(0)/mV 16 0 -48 -13257 0 aVL
E09939.mat 16x1+24 1000.0(0)/mV 16 0 9 23772 0 aVF
E09939.mat 16x1+24 1000.0(0)/mV 16 0 224 29700 0 V1
E09939.mat 16x1+24 1000.0(0)/mV 16 0 400 -19001 0 V2
E09939.mat 16x1+24 1000.0(0)/mV 16 0 244 -27245 0 V3
E09939.mat 16x1+24 1000.0(0)/mV 16 0 19 -98 0 V4
E09939.mat 16x1+24 1000.0(0)/mV 16 0 -58 -10298 0 V5
E09939.mat 16x1+24 1000.0(0)/mV 16 0 -97 -13703 0 V6
# Age: 38
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown