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

File: <base>/training/georgia/g1/E00574.hea (727 bytes) 
E00574 12 500 5000
E00574.mat 16x1+24 1000.0(0)/mV 16 0 -78 -7365 0 I
E00574.mat 16x1+24 1000.0(0)/mV 16 0 -4 -5920 0 II
E00574.mat 16x1+24 1000.0(0)/mV 16 0 73 1641 0 III
E00574.mat 16x1+24 1000.0(0)/mV 16 0 41 -26238 0 aVR
E00574.mat 16x1+24 1000.0(0)/mV 16 0 -75 -4428 0 aVL
E00574.mat 16x1+24 1000.0(0)/mV 16 0 34 30727 0 aVF
E00574.mat 16x1+24 1000.0(0)/mV 16 0 48 17014 0 V1
E00574.mat 16x1+24 1000.0(0)/mV 16 0 -29 9400 0 V2
E00574.mat 16x1+24 1000.0(0)/mV 16 0 -97 19230 0 V3
E00574.mat 16x1+24 1000.0(0)/mV 16 0 -68 27910 0 V4
E00574.mat 16x1+24 1000.0(0)/mV 16 0 -58 -25611 0 V5
E00574.mat 16x1+24 1000.0(0)/mV 16 0 -63 17574 0 V6
# Age: 41
# Sex: Male
# Dx: 425419005,164934002,164917005
# Rx: Unknown
# Hx: Unknown