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

File: <base>/training/georgia/g1/E00422.hea (719 bytes) 
E00422 12 500 5000
E00422.mat 16x1+24 1000.0(0)/mV 16 0 97 -13646 0 I
E00422.mat 16x1+24 1000.0(0)/mV 16 0 175 4809 0 II
E00422.mat 16x1+24 1000.0(0)/mV 16 0 78 18632 0 III
E00422.mat 16x1+24 1000.0(0)/mV 16 0 -136 4236 0 aVR
E00422.mat 16x1+24 1000.0(0)/mV 16 0 9 -16132 0 aVL
E00422.mat 16x1+24 1000.0(0)/mV 16 0 126 11684 0 aVF
E00422.mat 16x1+24 1000.0(0)/mV 16 0 -341 29793 0 V1
E00422.mat 16x1+24 1000.0(0)/mV 16 0 78 12285 0 V2
E00422.mat 16x1+24 1000.0(0)/mV 16 0 165 -30083 0 V3
E00422.mat 16x1+24 1000.0(0)/mV 16 0 468 28166 0 V4
E00422.mat 16x1+24 1000.0(0)/mV 16 0 4 24093 0 V5
E00422.mat 16x1+24 1000.0(0)/mV 16 0 122 -28922 0 V6
# Age: 68
# Sex: Male
# Dx: 698252002,429622005
# Rx: Unknown
# Hx: Unknown