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

File: <base>/training/georgia/g10/E09715.hea (764 bytes) 
E09715 12 500 5000
E09715.mat 16x1+24 1000.0(0)/mV 16 0 -39 12538 0 I
E09715.mat 16x1+24 1000.0(0)/mV 16 0 -19 9019 0 II
E09715.mat 16x1+24 1000.0(0)/mV 16 0 19 -3408 0 III
E09715.mat 16x1+24 1000.0(0)/mV 16 0 29 21613 0 aVR
E09715.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25088 0 aVL
E09715.mat 16x1+24 1000.0(0)/mV 16 0 0 2815 0 aVF
E09715.mat 16x1+24 1000.0(0)/mV 16 0 87 14689 0 V1
E09715.mat 16x1+24 1000.0(0)/mV 16 0 48 9211 0 V2
E09715.mat 16x1+24 1000.0(0)/mV 16 0 68 28424 0 V3
E09715.mat 16x1+24 1000.0(0)/mV 16 0 39 26997 0 V4
E09715.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11771 0 V5
E09715.mat 16x1+24 1000.0(0)/mV 16 0 -19 28835 0 V6
# Age: 61
# Sex: Female
# Dx: 428750005,111975006,164934002,164930006,164889003,425419005,59931005
# Rx: Unknown
# Hx: Unknown