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

File: <base>/training/georgia/g3/E02535.hea (746 bytes) 
E02535 12 500 5000
E02535.mat 16x1+24 1000.0(0)/mV 16 0 -9 26675 0 I
E02535.mat 16x1+24 1000.0(0)/mV 16 0 0 15735 0 II
E02535.mat 16x1+24 1000.0(0)/mV 16 0 9 -10386 0 III
E02535.mat 16x1+24 1000.0(0)/mV 16 0 4 -21364 0 aVR
E02535.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14515 0 aVL
E02535.mat 16x1+24 1000.0(0)/mV 16 0 4 -30011 0 aVF
E02535.mat 16x1+24 1000.0(0)/mV 16 0 -19 28922 0 V1
E02535.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17312 0 V2
E02535.mat 16x1+24 1000.0(0)/mV 16 0 9 26429 0 V3
E02535.mat 16x1+24 1000.0(0)/mV 16 0 -48 -20361 0 V4
E02535.mat 16x1+24 1000.0(0)/mV 16 0 -48 6376 0 V5
E02535.mat 16x1+24 1000.0(0)/mV 16 0 -29 -21260 0 V6
# Age: 70
# Sex: Male
# Dx: 111975006,164930006,426177001,164934002,164917005
# Rx: Unknown
# Hx: Unknown