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

File: <base>/training/georgia/g10/E09618.hea (719 bytes) 
E09618 12 500 5000
E09618.mat 16x1+24 1000.0(0)/mV 16 0 -141 -16882 0 I
E09618.mat 16x1+24 1000.0(0)/mV 16 0 -204 21126 0 II
E09618.mat 16x1+24 1000.0(0)/mV 16 0 -63 -27333 0 III
E09618.mat 16x1+24 1000.0(0)/mV 16 0 173 30454 0 aVR
E09618.mat 16x1+24 1000.0(0)/mV 16 0 -39 5210 0 aVL
E09618.mat 16x1+24 1000.0(0)/mV 16 0 -134 29641 0 aVF
E09618.mat 16x1+24 1000.0(0)/mV 16 0 87 -21633 0 V1
E09618.mat 16x1+24 1000.0(0)/mV 16 0 258 -32329 0 V2
E09618.mat 16x1+24 1000.0(0)/mV 16 0 -34 -23712 0 V3
E09618.mat 16x1+24 1000.0(0)/mV 16 0 -4 22249 0 V4
E09618.mat 16x1+24 1000.0(0)/mV 16 0 -34 -964 0 V5
E09618.mat 16x1+24 1000.0(0)/mV 16 0 -112 -7175 0 V6
# Age: 45
# Sex: Female
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown