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

File: <base>/training/georgia/g10/E09083.hea (753 bytes) 
E09083 12 500 2500
E09083.mat 16x1+24 1000.0(0)/mV 16 0 68 -11966 0 I
E09083.mat 16x1+24 1000.0(0)/mV 16 0 58 5760 0 II
E09083.mat 16x1+24 1000.0(0)/mV 16 0 -9 17807 0 III
E09083.mat 16x1+24 1000.0(0)/mV 16 0 -63 3154 0 aVR
E09083.mat 16x1+24 1000.0(0)/mV 16 0 39 -14934 0 aVL
E09083.mat 16x1+24 1000.0(0)/mV 16 0 24 11732 0 aVF
E09083.mat 16x1+24 1000.0(0)/mV 16 0 -141 -28522 0 V1
E09083.mat 16x1+24 1000.0(0)/mV 16 0 -39 -13201 0 V2
E09083.mat 16x1+24 1000.0(0)/mV 16 0 34 -25517 0 V3
E09083.mat 16x1+24 1000.0(0)/mV 16 0 107 -22141 0 V4
E09083.mat 16x1+24 1000.0(0)/mV 16 0 112 -21724 0 V5
E09083.mat 16x1+24 1000.0(0)/mV 16 0 39 -24263 0 V6
# Age: 82
# Sex: Female
# Dx: 111975006,164930006,59931005,164934002,164873001
# Rx: Unknown
# Hx: Unknown