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

File: <base>/training/georgia/g4/E03856.hea (742 bytes) 
E03856 12 500 5000
E03856.mat 16x1+24 1000.0(0)/mV 16 0 -29 12533 0 I
E03856.mat 16x1+24 1000.0(0)/mV 16 0 -29 18183 0 II
E03856.mat 16x1+24 1000.0(0)/mV 16 0 0 5554 0 III
E03856.mat 16x1+24 1000.0(0)/mV 16 0 29 -15224 0 aVR
E03856.mat 16x1+24 1000.0(0)/mV 16 0 -14 -29179 0 aVL
E03856.mat 16x1+24 1000.0(0)/mV 16 0 -14 -20883 0 aVF
E03856.mat 16x1+24 1000.0(0)/mV 16 0 48 23083 0 V1
E03856.mat 16x1+24 1000.0(0)/mV 16 0 -29 5990 0 V2
E03856.mat 16x1+24 1000.0(0)/mV 16 0 48 21373 0 V3
E03856.mat 16x1+24 1000.0(0)/mV 16 0 39 1205 0 V4
E03856.mat 16x1+24 1000.0(0)/mV 16 0 29 -3181 0 V5
E03856.mat 16x1+24 1000.0(0)/mV 16 0 -9 9874 0 V6
# Age: 62
# Sex: Male
# Dx: 111975006,164930006,164889003,39732003,425623009
# Rx: Unknown
# Hx: Unknown