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

File: <base>/training/georgia/g10/E09482.hea (706 bytes) 
E09482 12 500 5000
E09482.mat 16x1+24 1000.0(0)/mV 16 0 0 29351 0 I
E09482.mat 16x1+24 1000.0(0)/mV 16 0 78 -28176 0 II
E09482.mat 16x1+24 1000.0(0)/mV 16 0 78 7971 0 III
E09482.mat 16x1+24 1000.0(0)/mV 16 0 -39 32178 0 aVR
E09482.mat 16x1+24 1000.0(0)/mV 16 0 -39 -21845 0 aVL
E09482.mat 16x1+24 1000.0(0)/mV 16 0 78 -9870 0 aVF
E09482.mat 16x1+24 1000.0(0)/mV 16 0 19 -11901 0 V1
E09482.mat 16x1+24 1000.0(0)/mV 16 0 39 -16513 0 V2
E09482.mat 16x1+24 1000.0(0)/mV 16 0 19 -9364 0 V3
E09482.mat 16x1+24 1000.0(0)/mV 16 0 39 -18534 0 V4
E09482.mat 16x1+24 1000.0(0)/mV 16 0 29 2815 0 V5
E09482.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12864 0 V6
# Age: 64
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown