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

File: <base>/training/georgia/g5/E04931.hea (713 bytes) 
E04931 12 500 5000
E04931.mat 16x1+24 1000.0(0)/mV 16 0 9 -29197 0 I
E04931.mat 16x1+24 1000.0(0)/mV 16 0 29 30389 0 II
E04931.mat 16x1+24 1000.0(0)/mV 16 0 19 -6013 0 III
E04931.mat 16x1+24 1000.0(0)/mV 16 0 -19 -639 0 aVR
E04931.mat 16x1+24 1000.0(0)/mV 16 0 -4 21065 0 aVL
E04931.mat 16x1+24 1000.0(0)/mV 16 0 24 -20807 0 aVF
E04931.mat 16x1+24 1000.0(0)/mV 16 0 0 17268 0 V1
E04931.mat 16x1+24 1000.0(0)/mV 16 0 39 -25593 0 V2
E04931.mat 16x1+24 1000.0(0)/mV 16 0 107 5995 0 V3
E04931.mat 16x1+24 1000.0(0)/mV 16 0 107 7657 0 V4
E04931.mat 16x1+24 1000.0(0)/mV 16 0 68 18187 0 V5
E04931.mat 16x1+24 1000.0(0)/mV 16 0 68 24897 0 V6
# Age: 50
# Sex: Female
# Dx: 445118002,428750005
# Rx: Unknown
# Hx: Unknown