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

File: <base>/training/georgia/g4/E03773.hea (727 bytes) 
E03773 12 500 5000
E03773.mat 16x1+24 1000.0(0)/mV 16 0 -87 20154 0 I
E03773.mat 16x1+24 1000.0(0)/mV 16 0 29 -20970 0 II
E03773.mat 16x1+24 1000.0(0)/mV 16 0 117 23940 0 III
E03773.mat 16x1+24 1000.0(0)/mV 16 0 29 -125 0 aVR
E03773.mat 16x1+24 1000.0(0)/mV 16 0 -102 30851 0 aVL
E03773.mat 16x1+24 1000.0(0)/mV 16 0 73 -31213 0 aVF
E03773.mat 16x1+24 1000.0(0)/mV 16 0 -175 27663 0 V1
E03773.mat 16x1+24 1000.0(0)/mV 16 0 -361 25790 0 V2
E03773.mat 16x1+24 1000.0(0)/mV 16 0 -429 -14955 0 V3
E03773.mat 16x1+24 1000.0(0)/mV 16 0 -361 12164 0 V4
E03773.mat 16x1+24 1000.0(0)/mV 16 0 -312 8983 0 V5
E03773.mat 16x1+24 1000.0(0)/mV 16 0 -244 -3586 0 V6
# Age: 51
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown