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

File: <base>/training/georgia/g5/E04309.hea (735 bytes) 
E04309 12 500 5000
E04309.mat 16x1+24 1000.0(0)/mV 16 0 126 15717 0 I
E04309.mat 16x1+24 1000.0(0)/mV 16 0 400 -500 0 II
E04309.mat 16x1+24 1000.0(0)/mV 16 0 273 -15992 0 III
E04309.mat 16x1+24 1000.0(0)/mV 16 0 -263 25230 0 aVR
E04309.mat 16x1+24 1000.0(0)/mV 16 0 -73 -16957 0 aVL
E04309.mat 16x1+24 1000.0(0)/mV 16 0 336 -8214 0 aVF
E04309.mat 16x1+24 1000.0(0)/mV 16 0 29 -11389 0 V1
E04309.mat 16x1+24 1000.0(0)/mV 16 0 185 -18057 0 V2
E04309.mat 16x1+24 1000.0(0)/mV 16 0 -107 -1831 0 V3
E04309.mat 16x1+24 1000.0(0)/mV 16 0 -156 9087 0 V4
E04309.mat 16x1+24 1000.0(0)/mV 16 0 39 -26506 0 V5
E04309.mat 16x1+24 1000.0(0)/mV 16 0 78 -23688 0 V6
# Age: 65
# Sex: Male
# Dx: 17338001,428750005,427084000
# Rx: Unknown
# Hx: Unknown