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

File: <base>/training/georgia/g10/E09520.hea (722 bytes) 
E09520 12 500 5000
E09520.mat 16x1+24 1000.0(0)/mV 16 0 -34 20133 0 I
E09520.mat 16x1+24 1000.0(0)/mV 16 0 -112 -19846 0 II
E09520.mat 16x1+24 1000.0(0)/mV 16 0 -78 27122 0 III
E09520.mat 16x1+24 1000.0(0)/mV 16 0 73 -32319 0 aVR
E09520.mat 16x1+24 1000.0(0)/mV 16 0 21 28928 0 aVL
E09520.mat 16x1+24 1000.0(0)/mV 16 0 -95 3631 0 aVF
E09520.mat 16x1+24 1000.0(0)/mV 16 0 117 -799 0 V1
E09520.mat 16x1+24 1000.0(0)/mV 16 0 239 -22092 0 V2
E09520.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23983 0 V3
E09520.mat 16x1+24 1000.0(0)/mV 16 0 -9 24118 0 V4
E09520.mat 16x1+24 1000.0(0)/mV 16 0 4 12758 0 V5
E09520.mat 16x1+24 1000.0(0)/mV 16 0 -297 11513 0 V6
# Age: 88
# Sex: Female
# Dx: 164873001,164934002
# Rx: Unknown
# Hx: Unknown