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

File: <base>/training/georgia/g10/E09570.hea (717 bytes) 
E09570 12 500 5000
E09570.mat 16x1+24 1000.0(0)/mV 16 0 -122 4795 0 I
E09570.mat 16x1+24 1000.0(0)/mV 16 0 185 -8207 0 II
E09570.mat 16x1+24 1000.0(0)/mV 16 0 307 -13306 0 III
E09570.mat 16x1+24 1000.0(0)/mV 16 0 -31 1853 0 aVR
E09570.mat 16x1+24 1000.0(0)/mV 16 0 -214 -23575 0 aVL
E09570.mat 16x1+24 1000.0(0)/mV 16 0 246 22054 0 aVF
E09570.mat 16x1+24 1000.0(0)/mV 16 0 146 -26484 0 V1
E09570.mat 16x1+24 1000.0(0)/mV 16 0 -4 8234 0 V2
E09570.mat 16x1+24 1000.0(0)/mV 16 0 -87 854 0 V3
E09570.mat 16x1+24 1000.0(0)/mV 16 0 161 4109 0 V4
E09570.mat 16x1+24 1000.0(0)/mV 16 0 -185 -15335 0 V5
E09570.mat 16x1+24 1000.0(0)/mV 16 0 -283 6635 0 V6
# Age: 78
# Sex: Male
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown