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

File: <base>/training/georgia/g5/E04913.hea (713 bytes) 
E04913 12 500 5000
E04913.mat 16x1+24 1000.0(0)/mV 16 0 -185 -9601 0 I
E04913.mat 16x1+24 1000.0(0)/mV 16 0 -136 10973 0 II
E04913.mat 16x1+24 1000.0(0)/mV 16 0 48 20831 0 III
E04913.mat 16x1+24 1000.0(0)/mV 16 0 161 -1124 0 aVR
E04913.mat 16x1+24 1000.0(0)/mV 16 0 -117 -15195 0 aVL
E04913.mat 16x1+24 1000.0(0)/mV 16 0 -43 15954 0 aVF
E04913.mat 16x1+24 1000.0(0)/mV 16 0 -380 3008 0 V1
E04913.mat 16x1+24 1000.0(0)/mV 16 0 -87 -9422 0 V2
E04913.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2518 0 V3
E04913.mat 16x1+24 1000.0(0)/mV 16 0 -78 25435 0 V4
E04913.mat 16x1+24 1000.0(0)/mV 16 0 -214 -913 0 V5
E04913.mat 16x1+24 1000.0(0)/mV 16 0 -136 3281 0 V6
# Age: 70
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown