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

File: <base>/training/georgia/g6/E05919.hea (719 bytes) 
E05919 12 500 5000
E05919.mat 16x1+24 1000.0(0)/mV 16 0 -9 -29153 0 I
E05919.mat 16x1+24 1000.0(0)/mV 16 0 -9 29998 0 II
E05919.mat 16x1+24 1000.0(0)/mV 16 0 0 -6409 0 III
E05919.mat 16x1+24 1000.0(0)/mV 16 0 9 32197 0 aVR
E05919.mat 16x1+24 1000.0(0)/mV 16 0 -4 -11451 0 aVL
E05919.mat 16x1+24 1000.0(0)/mV 16 0 -4 -21131 0 aVF
E05919.mat 16x1+24 1000.0(0)/mV 16 0 19 -17889 0 V1
E05919.mat 16x1+24 1000.0(0)/mV 16 0 29 -20122 0 V2
E05919.mat 16x1+24 1000.0(0)/mV 16 0 48 -1184 0 V3
E05919.mat 16x1+24 1000.0(0)/mV 16 0 -156 -26514 0 V4
E05919.mat 16x1+24 1000.0(0)/mV 16 0 19 -19596 0 V5
E05919.mat 16x1+24 1000.0(0)/mV 16 0 -107 -2291 0 V6
# Age: 72
# Sex: Male
# Dx: 251146004,164934002
# Rx: Unknown
# Hx: Unknown