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

File: <base>/training/georgia/g1/E00651.hea (739 bytes) 
E00651 12 500 5000
E00651.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30901 0 I
E00651.mat 16x1+24 1000.0(0)/mV 16 0 -4 6795 0 II
E00651.mat 16x1+24 1000.0(0)/mV 16 0 14 -27536 0 III
E00651.mat 16x1+24 1000.0(0)/mV 16 0 12 11658 0 aVR
E00651.mat 16x1+24 1000.0(0)/mV 16 0 -17 31124 0 aVL
E00651.mat 16x1+24 1000.0(0)/mV 16 0 4 22241 0 aVF
E00651.mat 16x1+24 1000.0(0)/mV 16 0 -43 -20207 0 V1
E00651.mat 16x1+24 1000.0(0)/mV 16 0 -200 -26349 0 V2
E00651.mat 16x1+24 1000.0(0)/mV 16 0 14 -2726 0 V3
E00651.mat 16x1+24 1000.0(0)/mV 16 0 58 -22073 0 V4
E00651.mat 16x1+24 1000.0(0)/mV 16 0 -14 4240 0 V5
E00651.mat 16x1+24 1000.0(0)/mV 16 0 24 -26799 0 V6
# Age: 68
# Sex: Male
# Dx: 111975006,164930006,164934002,164917005
# Rx: Unknown
# Hx: Unknown