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

File: <base>/training/georgia/g5/E04733.hea (711 bytes) 
E04733 12 500 5000
E04733.mat 16x1+24 1000.0(0)/mV 16 0 29 18182 0 I
E04733.mat 16x1+24 1000.0(0)/mV 16 0 -9 -31173 0 II
E04733.mat 16x1+24 1000.0(0)/mV 16 0 -39 15932 0 III
E04733.mat 16x1+24 1000.0(0)/mV 16 0 -9 -26603 0 aVR
E04733.mat 16x1+24 1000.0(0)/mV 16 0 34 844 0 aVL
E04733.mat 16x1+24 1000.0(0)/mV 16 0 -24 25175 0 aVF
E04733.mat 16x1+24 1000.0(0)/mV 16 0 -29 -10536 0 V1
E04733.mat 16x1+24 1000.0(0)/mV 16 0 -107 4134 0 V2
E04733.mat 16x1+24 1000.0(0)/mV 16 0 -68 -10337 0 V3
E04733.mat 16x1+24 1000.0(0)/mV 16 0 -78 3475 0 V4
E04733.mat 16x1+24 1000.0(0)/mV 16 0 -97 18132 0 V5
E04733.mat 16x1+24 1000.0(0)/mV 16 0 -78 29505 0 V6
# Age: 54
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown