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

File: <base>/training/georgia/g6/E05502.hea (713 bytes) 
E05502 12 500 5000
E05502.mat 16x1+24 1000.0(0)/mV 16 0 19 -27230 0 I
E05502.mat 16x1+24 1000.0(0)/mV 16 0 9 8043 0 II
E05502.mat 16x1+24 1000.0(0)/mV 16 0 -9 -30450 0 III
E05502.mat 16x1+24 1000.0(0)/mV 16 0 -14 -23203 0 aVR
E05502.mat 16x1+24 1000.0(0)/mV 16 0 14 -30765 0 aVL
E05502.mat 16x1+24 1000.0(0)/mV 16 0 0 -10812 0 aVF
E05502.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16599 0 V1
E05502.mat 16x1+24 1000.0(0)/mV 16 0 -102 18601 0 V2
E05502.mat 16x1+24 1000.0(0)/mV 16 0 -14 -6702 0 V3
E05502.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1938 0 V4
E05502.mat 16x1+24 1000.0(0)/mV 16 0 -24 -9497 0 V5
E05502.mat 16x1+24 1000.0(0)/mV 16 0 -34 18946 0 V6
# Age: 43
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown