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

File: <base>/training/georgia/g8/E07294.hea (709 bytes) 
E07294 12 500 5000
E07294.mat 16x1+24 1000.0(0)/mV 16 0 -39 -29622 0 I
E07294.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15672 0 II
E07294.mat 16x1+24 1000.0(0)/mV 16 0 -9 13988 0 III
E07294.mat 16x1+24 1000.0(0)/mV 16 0 43 22306 0 aVR
E07294.mat 16x1+24 1000.0(0)/mV 16 0 -14 -21148 0 aVL
E07294.mat 16x1+24 1000.0(0)/mV 16 0 -29 -472 0 aVF
E07294.mat 16x1+24 1000.0(0)/mV 16 0 9 -23395 0 V1
E07294.mat 16x1+24 1000.0(0)/mV 16 0 -9 28645 0 V2
E07294.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25880 0 V3
E07294.mat 16x1+24 1000.0(0)/mV 16 0 68 25574 0 V4
E07294.mat 16x1+24 1000.0(0)/mV 16 0 68 -21762 0 V5
E07294.mat 16x1+24 1000.0(0)/mV 16 0 9 3646 0 V6
# Age: 61
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown