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

File: <base>/training/georgia/g7/E06209.hea (749 bytes) 
E06209 12 500 5000
E06209.mat 16x1+24 1000.0(0)/mV 16 0 29 -9958 0 I
E06209.mat 16x1+24 1000.0(0)/mV 16 0 146 18883 0 II
E06209.mat 16x1+24 1000.0(0)/mV 16 0 117 29573 0 III
E06209.mat 16x1+24 1000.0(0)/mV 16 0 -87 28593 0 aVR
E06209.mat 16x1+24 1000.0(0)/mV 16 0 -43 12868 0 aVL
E06209.mat 16x1+24 1000.0(0)/mV 16 0 131 24216 0 aVF
E06209.mat 16x1+24 1000.0(0)/mV 16 0 -361 8698 0 V1
E06209.mat 16x1+24 1000.0(0)/mV 16 0 -409 15013 0 V2
E06209.mat 16x1+24 1000.0(0)/mV 16 0 -185 9260 0 V3
E06209.mat 16x1+24 1000.0(0)/mV 16 0 -68 17553 0 V4
E06209.mat 16x1+24 1000.0(0)/mV 16 0 -39 14037 0 V5
E06209.mat 16x1+24 1000.0(0)/mV 16 0 0 23551 0 V6
# Age: 63
# Sex: Male
# Dx: 59118001,425623009,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown