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

File: <base>/training/georgia/g2/E01254.hea (713 bytes) 
E01254 12 500 5000
E01254.mat 16x1+24 1000.0(0)/mV 16 0 -117 -28855 0 I
E01254.mat 16x1+24 1000.0(0)/mV 16 0 -39 20381 0 II
E01254.mat 16x1+24 1000.0(0)/mV 16 0 78 -17111 0 III
E01254.mat 16x1+24 1000.0(0)/mV 16 0 78 -28520 0 aVR
E01254.mat 16x1+24 1000.0(0)/mV 16 0 -97 -5651 0 aVL
E01254.mat 16x1+24 1000.0(0)/mV 16 0 19 -30309 0 aVF
E01254.mat 16x1+24 1000.0(0)/mV 16 0 195 11904 0 V1
E01254.mat 16x1+24 1000.0(0)/mV 16 0 107 16063 0 V2
E01254.mat 16x1+24 1000.0(0)/mV 16 0 78 8075 0 V3
E01254.mat 16x1+24 1000.0(0)/mV 16 0 19 -3636 0 V4
E01254.mat 16x1+24 1000.0(0)/mV 16 0 -9 -7065 0 V5
E01254.mat 16x1+24 1000.0(0)/mV 16 0 -19 -23231 0 V6
# Age: 46
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown