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

File: <base>/training/georgia/g10/E09393.hea (710 bytes) 
E09393 12 500 5000
E09393.mat 16x1+24 1000.0(0)/mV 16 0 -39 8497 0 I
E09393.mat 16x1+24 1000.0(0)/mV 16 0 9 -16193 0 II
E09393.mat 16x1+24 1000.0(0)/mV 16 0 48 -24562 0 III
E09393.mat 16x1+24 1000.0(0)/mV 16 0 14 3694 0 aVR
E09393.mat 16x1+24 1000.0(0)/mV 16 0 -43 16513 0 aVL
E09393.mat 16x1+24 1000.0(0)/mV 16 0 29 -20412 0 aVF
E09393.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17608 0 V1
E09393.mat 16x1+24 1000.0(0)/mV 16 0 -48 -27370 0 V2
E09393.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29331 0 V3
E09393.mat 16x1+24 1000.0(0)/mV 16 0 -58 7334 0 V4
E09393.mat 16x1+24 1000.0(0)/mV 16 0 -39 21204 0 V5
E09393.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9044 0 V6
# Age: 54
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown