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

File: <base>/training/georgia/g5/E04063.hea (743 bytes) 
E04063 12 500 5000
E04063.mat 16x1+24 1000.0(0)/mV 16 0 -39 -15961 0 I
E04063.mat 16x1+24 1000.0(0)/mV 16 0 -29 13648 0 II
E04063.mat 16x1+24 1000.0(0)/mV 16 0 9 30269 0 III
E04063.mat 16x1+24 1000.0(0)/mV 16 0 34 -31770 0 aVR
E04063.mat 16x1+24 1000.0(0)/mV 16 0 -24 -22649 0 aVL
E04063.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10820 0 aVF
E04063.mat 16x1+24 1000.0(0)/mV 16 0 -9 10582 0 V1
E04063.mat 16x1+24 1000.0(0)/mV 16 0 -19 11616 0 V2
E04063.mat 16x1+24 1000.0(0)/mV 16 0 -19 1797 0 V3
E04063.mat 16x1+24 1000.0(0)/mV 16 0 -19 3151 0 V4
E04063.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19763 0 V5
E04063.mat 16x1+24 1000.0(0)/mV 16 0 -58 -11315 0 V6
# Age: 45
# Sex: Female
# Dx: 426177001,427393009,284470004,284470004
# Rx: Unknown
# Hx: Unknown