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

File: <base>/training/georgia/g8/E07852.hea (723 bytes) 
E07852 12 500 5000
E07852.mat 16x1+24 1000.0(0)/mV 16 0 229 32163 0 I
E07852.mat 16x1+24 1000.0(0)/mV 16 0 82 27142 0 II
E07852.mat 16x1+24 1000.0(0)/mV 16 0 -146 -4748 0 III
E07852.mat 16x1+24 1000.0(0)/mV 16 0 -156 3069 0 aVR
E07852.mat 16x1+24 1000.0(0)/mV 16 0 187 -14419 0 aVL
E07852.mat 16x1+24 1000.0(0)/mV 16 0 -31 11253 0 aVF
E07852.mat 16x1+24 1000.0(0)/mV 16 0 87 5962 0 V1
E07852.mat 16x1+24 1000.0(0)/mV 16 0 941 27627 0 V2
E07852.mat 16x1+24 1000.0(0)/mV 16 0 117 22836 0 V3
E07852.mat 16x1+24 1000.0(0)/mV 16 0 370 -4547 0 V4
E07852.mat 16x1+24 1000.0(0)/mV 16 0 209 32044 0 V5
E07852.mat 16x1+24 1000.0(0)/mV 16 0 -63 -25069 0 V6
# Age: 67
# Sex: Female
# Dx: 253352002,39732003
# Rx: Unknown
# Hx: Unknown