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

File: <base>/training/georgia/g1/E00492.hea (727 bytes) 
E00492 12 500 5000
E00492.mat 16x1+24 1000.0(0)/mV 16 0 -29 31863 0 I
E00492.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4742 0 II
E00492.mat 16x1+24 1000.0(0)/mV 16 0 9 29540 0 III
E00492.mat 16x1+24 1000.0(0)/mV 16 0 24 19285 0 aVR
E00492.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31659 0 aVL
E00492.mat 16x1+24 1000.0(0)/mV 16 0 -4 12316 0 aVF
E00492.mat 16x1+24 1000.0(0)/mV 16 0 29 11485 0 V1
E00492.mat 16x1+24 1000.0(0)/mV 16 0 0 -2186 0 V2
E00492.mat 16x1+24 1000.0(0)/mV 16 0 322 -29045 0 V3
E00492.mat 16x1+24 1000.0(0)/mV 16 0 195 -440 0 V4
E00492.mat 16x1+24 1000.0(0)/mV 16 0 -117 3050 0 V5
E00492.mat 16x1+24 1000.0(0)/mV 16 0 -58 -26072 0 V6
# Age: 54
# Sex: Male
# Dx: 270492004,425623009,164934002
# Rx: Unknown
# Hx: Unknown