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

File: <base>/training/georgia/g4/E03085.hea (762 bytes) 
E03085 12 500 5000
E03085.mat 16x1+24 1000.0(0)/mV 16 0 78 6733 0 I
E03085.mat 16x1+24 1000.0(0)/mV 16 0 -102 -32506 0 II
E03085.mat 16x1+24 1000.0(0)/mV 16 0 -180 26768 0 III
E03085.mat 16x1+24 1000.0(0)/mV 16 0 12 -19725 0 aVR
E03085.mat 16x1+24 1000.0(0)/mV 16 0 129 -9812 0 aVL
E03085.mat 16x1+24 1000.0(0)/mV 16 0 -141 29743 0 aVF
E03085.mat 16x1+24 1000.0(0)/mV 16 0 -68 -5267 0 V1
E03085.mat 16x1+24 1000.0(0)/mV 16 0 -170 -25135 0 V2
E03085.mat 16x1+24 1000.0(0)/mV 16 0 -180 -32573 0 V3
E03085.mat 16x1+24 1000.0(0)/mV 16 0 -204 17334 0 V4
E03085.mat 16x1+24 1000.0(0)/mV 16 0 -161 20624 0 V5
E03085.mat 16x1+24 1000.0(0)/mV 16 0 -122 -31235 0 V6
# Age: 50
# Sex: Male
# Dx: 164873001,111975006,164930006,425623009,164917005
# Rx: Unknown
# Hx: Unknown