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

File: <base>/training/georgia/g10/E09450.hea (714 bytes) 
E09450 12 500 5000
E09450.mat 16x1+24 1000.0(0)/mV 16 0 -68 20097 0 I
E09450.mat 16x1+24 1000.0(0)/mV 16 0 -19 -29926 0 II
E09450.mat 16x1+24 1000.0(0)/mV 16 0 48 14601 0 III
E09450.mat 16x1+24 1000.0(0)/mV 16 0 43 -27916 0 aVR
E09450.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29888 0 aVL
E09450.mat 16x1+24 1000.0(0)/mV 16 0 14 -7411 0 aVF
E09450.mat 16x1+24 1000.0(0)/mV 16 0 -9 15286 0 V1
E09450.mat 16x1+24 1000.0(0)/mV 16 0 -9 -13353 0 V2
E09450.mat 16x1+24 1000.0(0)/mV 16 0 9 -7799 0 V3
E09450.mat 16x1+24 1000.0(0)/mV 16 0 9 6926 0 V4
E09450.mat 16x1+24 1000.0(0)/mV 16 0 -68 6461 0 V5
E09450.mat 16x1+24 1000.0(0)/mV 16 0 -19 6742 0 V6
# Age: 55
# Sex: Male
# Dx: 428750005,251146004
# Rx: Unknown
# Hx: Unknown