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

File: <base>/training/georgia/g10/E09404.hea (749 bytes) 
E09404 12 500 5000
E09404.mat 16x1+24 1000.0(0)/mV 16 0 9 22041 0 I
E09404.mat 16x1+24 1000.0(0)/mV 16 0 -29 19943 0 II
E09404.mat 16x1+24 1000.0(0)/mV 16 0 -39 -1766 0 III
E09404.mat 16x1+24 1000.0(0)/mV 16 0 9 11673 0 aVR
E09404.mat 16x1+24 1000.0(0)/mV 16 0 24 11867 0 aVL
E09404.mat 16x1+24 1000.0(0)/mV 16 0 -34 -23608 0 aVF
E09404.mat 16x1+24 1000.0(0)/mV 16 0 9 -29024 0 V1
E09404.mat 16x1+24 1000.0(0)/mV 16 0 29 31731 0 V2
E09404.mat 16x1+24 1000.0(0)/mV 16 0 68 -14084 0 V3
E09404.mat 16x1+24 1000.0(0)/mV 16 0 97 -8624 0 V4
E09404.mat 16x1+24 1000.0(0)/mV 16 0 97 -7952 0 V5
E09404.mat 16x1+24 1000.0(0)/mV 16 0 78 -8461 0 V6
# Age: 69
# Sex: Female
# Dx: 17338001,67741000119109,425419005,164934002,164917005
# Rx: Unknown
# Hx: Unknown