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

File: <base>/training/georgia/g10/E09967.hea (717 bytes) 
E09967 12 500 5000
E09967.mat 16x1+24 1000.0(0)/mV 16 0 136 31513 0 I
E09967.mat 16x1+24 1000.0(0)/mV 16 0 175 -18759 0 II
E09967.mat 16x1+24 1000.0(0)/mV 16 0 39 14902 0 III
E09967.mat 16x1+24 1000.0(0)/mV 16 0 -156 26276 0 aVR
E09967.mat 16x1+24 1000.0(0)/mV 16 0 48 -24439 0 aVL
E09967.mat 16x1+24 1000.0(0)/mV 16 0 107 -1939 0 aVF
E09967.mat 16x1+24 1000.0(0)/mV 16 0 -68 -16573 0 V1
E09967.mat 16x1+24 1000.0(0)/mV 16 0 117 -8438 0 V2
E09967.mat 16x1+24 1000.0(0)/mV 16 0 107 -19088 0 V3
E09967.mat 16x1+24 1000.0(0)/mV 16 0 97 -18042 0 V4
E09967.mat 16x1+24 1000.0(0)/mV 16 0 48 -22143 0 V5
E09967.mat 16x1+24 1000.0(0)/mV 16 0 68 -21289 0 V6
# Age: 73
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown