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

File: <base>/training/georgia/g1/E00806.hea (714 bytes) 
E00806 12 500 5000
E00806.mat 16x1+24 1000.0(0)/mV 16 0 14 -16631 0 I
E00806.mat 16x1+24 1000.0(0)/mV 16 0 87 11267 0 II
E00806.mat 16x1+24 1000.0(0)/mV 16 0 73 28080 0 III
E00806.mat 16x1+24 1000.0(0)/mV 16 0 -51 -30136 0 aVR
E00806.mat 16x1+24 1000.0(0)/mV 16 0 -29 -22771 0 aVL
E00806.mat 16x1+24 1000.0(0)/mV 16 0 80 -13023 0 aVF
E00806.mat 16x1+24 1000.0(0)/mV 16 0 -68 -28148 0 V1
E00806.mat 16x1+24 1000.0(0)/mV 16 0 -102 -17087 0 V2
E00806.mat 16x1+24 1000.0(0)/mV 16 0 -107 7396 0 V3
E00806.mat 16x1+24 1000.0(0)/mV 16 0 63 -18721 0 V4
E00806.mat 16x1+24 1000.0(0)/mV 16 0 -34 28070 0 V5
E00806.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8943 0 V6
# Age: 56
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown