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

File: <base>/training/georgia/g9/E08085.hea (748 bytes) 
E08085 12 500 5000
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -68 5746 0 I
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -126 14256 0 II
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -58 9497 0 III
E08085.mat 16x1+24 1000.0(0)/mV 16 0 97 22742 0 aVR
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -4 -2074 0 aVL
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -92 -20766 0 aVF
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -9 26976 0 V1
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -117 -15136 0 V2
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -224 -10169 0 V3
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -185 -18370 0 V4
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -165 -26480 0 V5
E08085.mat 16x1+24 1000.0(0)/mV 16 0 -136 -16870 0 V6
# Age: 42
# Sex: Male
# Dx: 428750005,59931005,111975006,164873001
# Rx: Unknown
# Hx: Unknown