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

File: <base>/training/georgia/g6/E05809.hea (718 bytes) 
E05809 12 500 5000
E05809.mat 16x1+24 1000.0(0)/mV 16 0 29 21912 0 I
E05809.mat 16x1+24 1000.0(0)/mV 16 0 68 -8155 0 II
E05809.mat 16x1+24 1000.0(0)/mV 16 0 39 -29762 0 III
E05809.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6901 0 aVR
E05809.mat 16x1+24 1000.0(0)/mV 16 0 -4 -6610 0 aVL
E05809.mat 16x1+24 1000.0(0)/mV 16 0 53 13925 0 aVF
E05809.mat 16x1+24 1000.0(0)/mV 16 0 48 -10502 0 V1
E05809.mat 16x1+24 1000.0(0)/mV 16 0 283 -30515 0 V2
E05809.mat 16x1+24 1000.0(0)/mV 16 0 126 15740 0 V3
E05809.mat 16x1+24 1000.0(0)/mV 16 0 117 3382 0 V4
E05809.mat 16x1+24 1000.0(0)/mV 16 0 68 16170 0 V5
E05809.mat 16x1+24 1000.0(0)/mV 16 0 29 -26755 0 V6
# Age: 72
# Sex: Female
# Dx: 17338001,251146004
# Rx: Unknown
# Hx: Unknown