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

File: <base>/training/georgia/g4/E03005.hea (711 bytes) 
E03005 12 500 5000
E03005.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14539 0 I
E03005.mat 16x1+24 1000.0(0)/mV 16 0 19 28988 0 II
E03005.mat 16x1+24 1000.0(0)/mV 16 0 29 -21913 0 III
E03005.mat 16x1+24 1000.0(0)/mV 16 0 -4 -7418 0 aVR
E03005.mat 16x1+24 1000.0(0)/mV 16 0 -19 -28950 0 aVL
E03005.mat 16x1+24 1000.0(0)/mV 16 0 24 -29242 0 aVF
E03005.mat 16x1+24 1000.0(0)/mV 16 0 0 -31561 0 V1
E03005.mat 16x1+24 1000.0(0)/mV 16 0 0 17237 0 V2
E03005.mat 16x1+24 1000.0(0)/mV 16 0 -19 -22471 0 V3
E03005.mat 16x1+24 1000.0(0)/mV 16 0 -19 31668 0 V4
E03005.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19604 0 V5
E03005.mat 16x1+24 1000.0(0)/mV 16 0 -19 -26781 0 V6
# Age: 71
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown