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

File: <base>/training/georgia/g1/E00864.hea (726 bytes) 
E00864 12 500 5000
E00864.mat 16x1+24 1000.0(0)/mV 16 0 78 -26697 0 I
E00864.mat 16x1+24 1000.0(0)/mV 16 0 -29 -5432 0 II
E00864.mat 16x1+24 1000.0(0)/mV 16 0 -107 21421 0 III
E00864.mat 16x1+24 1000.0(0)/mV 16 0 -24 -16773 0 aVR
E00864.mat 16x1+24 1000.0(0)/mV 16 0 92 8772 0 aVL
E00864.mat 16x1+24 1000.0(0)/mV 16 0 -68 8213 0 aVF
E00864.mat 16x1+24 1000.0(0)/mV 16 0 -107 -24903 0 V1
E00864.mat 16x1+24 1000.0(0)/mV 16 0 -117 -21265 0 V2
E00864.mat 16x1+24 1000.0(0)/mV 16 0 -156 17915 0 V3
E00864.mat 16x1+24 1000.0(0)/mV 16 0 -78 21143 0 V4
E00864.mat 16x1+24 1000.0(0)/mV 16 0 -58 -25974 0 V5
E00864.mat 16x1+24 1000.0(0)/mV 16 0 -29 24865 0 V6
# Age: 62
# Sex: Male
# Dx: 59118001,164889003
# Rx: Unknown
# Hx: Unknown