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

File: <base>/training/georgia/g6/E05942.hea (762 bytes) 
E05942 12 500 5000
E05942.mat 16x1+24 1000.0(0)/mV 16 0 48 -27544 0 I
E05942.mat 16x1+24 1000.0(0)/mV 16 0 48 -26121 0 II
E05942.mat 16x1+24 1000.0(0)/mV 16 0 0 969 0 III
E05942.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6035 0 aVR
E05942.mat 16x1+24 1000.0(0)/mV 16 0 24 -14502 0 aVL
E05942.mat 16x1+24 1000.0(0)/mV 16 0 24 20238 0 aVF
E05942.mat 16x1+24 1000.0(0)/mV 16 0 48 -6580 0 V1
E05942.mat 16x1+24 1000.0(0)/mV 16 0 156 -16662 0 V2
E05942.mat 16x1+24 1000.0(0)/mV 16 0 -39 -345 0 V3
E05942.mat 16x1+24 1000.0(0)/mV 16 0 58 15325 0 V4
E05942.mat 16x1+24 1000.0(0)/mV 16 0 9 -17251 0 V5
E05942.mat 16x1+24 1000.0(0)/mV 16 0 9 -31745 0 V6
# Age: 72
# Sex: Male
# Dx: 111975006,164930006,164889003,426434006,425419005,59931005,164934002
# Rx: Unknown
# Hx: Unknown