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

File: <base>/training/georgia/g10/E09892.hea (716 bytes) 
E09892 12 500 5000
E09892.mat 16x1+24 1000.0(0)/mV 16 0 -58 21720 0 I
E09892.mat 16x1+24 1000.0(0)/mV 16 0 -78 -22732 0 II
E09892.mat 16x1+24 1000.0(0)/mV 16 0 -19 21665 0 III
E09892.mat 16x1+24 1000.0(0)/mV 16 0 68 -32256 0 aVR
E09892.mat 16x1+24 1000.0(0)/mV 16 0 -19 -32619 0 aVL
E09892.mat 16x1+24 1000.0(0)/mV 16 0 -48 -491 0 aVF
E09892.mat 16x1+24 1000.0(0)/mV 16 0 29 -3262 0 V1
E09892.mat 16x1+24 1000.0(0)/mV 16 0 -48 13881 0 V2
E09892.mat 16x1+24 1000.0(0)/mV 16 0 -263 24373 0 V3
E09892.mat 16x1+24 1000.0(0)/mV 16 0 -87 1459 0 V4
E09892.mat 16x1+24 1000.0(0)/mV 16 0 -156 -17266 0 V5
E09892.mat 16x1+24 1000.0(0)/mV 16 0 -87 -1899 0 V6
# Age: 61
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown