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

File: <base>/training/georgia/g2/E01272.hea (715 bytes) 
E01272 12 500 5000
E01272.mat 16x1+24 1000.0(0)/mV 16 0 48 -26154 0 I
E01272.mat 16x1+24 1000.0(0)/mV 16 0 29 -3306 0 II
E01272.mat 16x1+24 1000.0(0)/mV 16 0 -19 23220 0 III
E01272.mat 16x1+24 1000.0(0)/mV 16 0 -39 14740 0 aVR
E01272.mat 16x1+24 1000.0(0)/mV 16 0 34 -24358 0 aVL
E01272.mat 16x1+24 1000.0(0)/mV 16 0 4 9971 0 aVF
E01272.mat 16x1+24 1000.0(0)/mV 16 0 -146 1859 0 V1
E01272.mat 16x1+24 1000.0(0)/mV 16 0 0 -8012 0 V2
E01272.mat 16x1+24 1000.0(0)/mV 16 0 -107 -2316 0 V3
E01272.mat 16x1+24 1000.0(0)/mV 16 0 29 -21276 0 V4
E01272.mat 16x1+24 1000.0(0)/mV 16 0 9 18616 0 V5
E01272.mat 16x1+24 1000.0(0)/mV 16 0 97 -20973 0 V6
# Age: 70
# Sex: Male
# Dx: 164890007,233917008
# Rx: Unknown
# Hx: Unknown