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

File: <base>/training/georgia/g10/E09225.hea (761 bytes) 
E09225 12 500 5000
E09225.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16503 0 I
E09225.mat 16x1+24 1000.0(0)/mV 16 0 0 -18401 0 II
E09225.mat 16x1+24 1000.0(0)/mV 16 0 29 -1389 0 III
E09225.mat 16x1+24 1000.0(0)/mV 16 0 14 17329 0 aVR
E09225.mat 16x1+24 1000.0(0)/mV 16 0 -29 -7620 0 aVL
E09225.mat 16x1+24 1000.0(0)/mV 16 0 14 -9832 0 aVF
E09225.mat 16x1+24 1000.0(0)/mV 16 0 19 -20973 0 V1
E09225.mat 16x1+24 1000.0(0)/mV 16 0 68 -29395 0 V2
E09225.mat 16x1+24 1000.0(0)/mV 16 0 29 -14625 0 V3
E09225.mat 16x1+24 1000.0(0)/mV 16 0 -9 24511 0 V4
E09225.mat 16x1+24 1000.0(0)/mV 16 0 -68 -17177 0 V5
E09225.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17194 0 V6
# Age: 73
# Sex: Female
# Dx: 428750005,164934002,426434006,59931005,284470004,284470004
# Rx: Unknown
# Hx: Unknown