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

File: <base>/training/georgia/g3/E02874.hea (717 bytes) 
E02874 12 500 5000
E02874.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22483 0 I
E02874.mat 16x1+24 1000.0(0)/mV 16 0 0 16490 0 II
E02874.mat 16x1+24 1000.0(0)/mV 16 0 48 -25770 0 III
E02874.mat 16x1+24 1000.0(0)/mV 16 0 24 2876 0 aVR
E02874.mat 16x1+24 1000.0(0)/mV 16 0 -48 -31059 0 aVL
E02874.mat 16x1+24 1000.0(0)/mV 16 0 24 28130 0 aVF
E02874.mat 16x1+24 1000.0(0)/mV 16 0 -48 -29814 0 V1
E02874.mat 16x1+24 1000.0(0)/mV 16 0 -126 -14323 0 V2
E02874.mat 16x1+24 1000.0(0)/mV 16 0 -156 -20595 0 V3
E02874.mat 16x1+24 1000.0(0)/mV 16 0 -117 25329 0 V4
E02874.mat 16x1+24 1000.0(0)/mV 16 0 -146 -11345 0 V5
E02874.mat 16x1+24 1000.0(0)/mV 16 0 -156 4195 0 V6
# Age: 83
# Sex: Male
# Dx: 713427006
# Rx: Unknown
# Hx: Unknown