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

File: <base>/training/georgia/g10/E09281.hea (711 bytes) 
E09281 12 500 5000
E09281.mat 16x1+24 1000.0(0)/mV 16 0 -68 -9019 0 I
E09281.mat 16x1+24 1000.0(0)/mV 16 0 -19 -24293 0 II
E09281.mat 16x1+24 1000.0(0)/mV 16 0 48 -15002 0 III
E09281.mat 16x1+24 1000.0(0)/mV 16 0 43 -16362 0 aVR
E09281.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29936 0 aVL
E09281.mat 16x1+24 1000.0(0)/mV 16 0 14 -19465 0 aVF
E09281.mat 16x1+24 1000.0(0)/mV 16 0 9 13928 0 V1
E09281.mat 16x1+24 1000.0(0)/mV 16 0 -19 11152 0 V2
E09281.mat 16x1+24 1000.0(0)/mV 16 0 -19 10711 0 V3
E09281.mat 16x1+24 1000.0(0)/mV 16 0 -29 -32686 0 V4
E09281.mat 16x1+24 1000.0(0)/mV 16 0 -48 6880 0 V5
E09281.mat 16x1+24 1000.0(0)/mV 16 0 -68 2308 0 V6
# Age: 48
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown