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

File: <base>/training/georgia/g10/E09548.hea (758 bytes) 
E09548 12 500 5000
E09548.mat 16x1+24 1000.0(0)/mV 16 0 78 -3856 0 I
E09548.mat 16x1+24 1000.0(0)/mV 16 0 151 13360 0 II
E09548.mat 16x1+24 1000.0(0)/mV 16 0 73 16852 0 III
E09548.mat 16x1+24 1000.0(0)/mV 16 0 -114 -4609 0 aVR
E09548.mat 16x1+24 1000.0(0)/mV 16 0 2 -10041 0 aVL
E09548.mat 16x1+24 1000.0(0)/mV 16 0 112 15345 0 aVF
E09548.mat 16x1+24 1000.0(0)/mV 16 0 -209 -1616 0 V1
E09548.mat 16x1+24 1000.0(0)/mV 16 0 -117 -17205 0 V2
E09548.mat 16x1+24 1000.0(0)/mV 16 0 102 -25002 0 V3
E09548.mat 16x1+24 1000.0(0)/mV 16 0 82 -11017 0 V4
E09548.mat 16x1+24 1000.0(0)/mV 16 0 92 -8791 0 V5
E09548.mat 16x1+24 1000.0(0)/mV 16 0 87 -4115 0 V6
# Age: 73
# Sex: Female
# Dx: 67741000119109,39732003,425623009,427084000,251146004
# Rx: Unknown
# Hx: Unknown