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

File: <base>/training/georgia/g10/E09856.hea (710 bytes) 
E09856 12 500 5000
E09856.mat 16x1+24 1000.0(0)/mV 16 0 -14 -19360 0 I
E09856.mat 16x1+24 1000.0(0)/mV 16 0 117 -8767 0 II
E09856.mat 16x1+24 1000.0(0)/mV 16 0 131 9902 0 III
E09856.mat 16x1+24 1000.0(0)/mV 16 0 -51 14057 0 aVR
E09856.mat 16x1+24 1000.0(0)/mV 16 0 -73 -14716 0 aVL
E09856.mat 16x1+24 1000.0(0)/mV 16 0 124 62 0 aVF
E09856.mat 16x1+24 1000.0(0)/mV 16 0 -117 14754 0 V1
E09856.mat 16x1+24 1000.0(0)/mV 16 0 -53 -916 0 V2
E09856.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13154 0 V3
E09856.mat 16x1+24 1000.0(0)/mV 16 0 -29 27551 0 V4
E09856.mat 16x1+24 1000.0(0)/mV 16 0 -58 28219 0 V5
E09856.mat 16x1+24 1000.0(0)/mV 16 0 -43 27745 0 V6
# Age: 56
# Sex: Male
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown