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

File: <base>/training/georgia/g10/E09321.hea (709 bytes) 
E09321 12 500 5000
E09321.mat 16x1+24 1000.0(0)/mV 16 0 9 -11021 0 I
E09321.mat 16x1+24 1000.0(0)/mV 16 0 0 7220 0 II
E09321.mat 16x1+24 1000.0(0)/mV 16 0 -9 18083 0 III
E09321.mat 16x1+24 1000.0(0)/mV 16 0 -4 1458 0 aVR
E09321.mat 16x1+24 1000.0(0)/mV 16 0 9 -14394 0 aVL
E09321.mat 16x1+24 1000.0(0)/mV 16 0 -4 12965 0 aVF
E09321.mat 16x1+24 1000.0(0)/mV 16 0 0 2636 0 V1
E09321.mat 16x1+24 1000.0(0)/mV 16 0 -14 7935 0 V2
E09321.mat 16x1+24 1000.0(0)/mV 16 0 -29 -14550 0 V3
E09321.mat 16x1+24 1000.0(0)/mV 16 0 -24 1067 0 V4
E09321.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11180 0 V5
E09321.mat 16x1+24 1000.0(0)/mV 16 0 -39 7447 0 V6
# Age: 75
# Sex: Male
# Dx: 426177001,427393009
# Rx: Unknown
# Hx: Unknown