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

File: <base>/training/georgia/g5/E04433.hea (717 bytes) 
E04433 12 500 5000
E04433.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10152 0 I
E04433.mat 16x1+24 1000.0(0)/mV 16 0 -39 -28637 0 II
E04433.mat 16x1+24 1000.0(0)/mV 16 0 9 -18700 0 III
E04433.mat 16x1+24 1000.0(0)/mV 16 0 43 -13295 0 aVR
E04433.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28142 0 aVL
E04433.mat 16x1+24 1000.0(0)/mV 16 0 -14 -23633 0 aVF
E04433.mat 16x1+24 1000.0(0)/mV 16 0 39 -30669 0 V1
E04433.mat 16x1+24 1000.0(0)/mV 16 0 34 -25137 0 V2
E04433.mat 16x1+24 1000.0(0)/mV 16 0 24 -12562 0 V3
E04433.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31015 0 V4
E04433.mat 16x1+24 1000.0(0)/mV 16 0 -9 25846 0 V5
E04433.mat 16x1+24 1000.0(0)/mV 16 0 -29 29619 0 V6
# Age: 61
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown