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

File: <base>/training/georgia/g1/E00577.hea (720 bytes) 
E00577 12 500 5000
E00577.mat 16x1+24 1000.0(0)/mV 16 0 -341 7702 0 I
E00577.mat 16x1+24 1000.0(0)/mV 16 0 -78 -3553 0 II
E00577.mat 16x1+24 1000.0(0)/mV 16 0 263 -10914 0 III
E00577.mat 16x1+24 1000.0(0)/mV 16 0 209 30862 0 aVR
E00577.mat 16x1+24 1000.0(0)/mV 16 0 -302 9573 0 aVL
E00577.mat 16x1+24 1000.0(0)/mV 16 0 92 25521 0 aVF
E00577.mat 16x1+24 1000.0(0)/mV 16 0 107 -7007 0 V1
E00577.mat 16x1+24 1000.0(0)/mV 16 0 0 -27169 0 V2
E00577.mat 16x1+24 1000.0(0)/mV 16 0 19 -19469 0 V3
E00577.mat 16x1+24 1000.0(0)/mV 16 0 39 -22767 0 V4
E00577.mat 16x1+24 1000.0(0)/mV 16 0 39 -16944 0 V5
E00577.mat 16x1+24 1000.0(0)/mV 16 0 9 -16070 0 V6
# Age: 57
# Sex: Male
# Dx: 428417006,427084000
# Rx: Unknown
# Hx: Unknown