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

File: <base>/training/georgia/g10/E09884.hea (738 bytes) 
E09884 12 500 5000
E09884.mat 16x1+24 1000.0(0)/mV 16 0 9 -6718 0 I
E09884.mat 16x1+24 1000.0(0)/mV 16 0 -97 13149 0 II
E09884.mat 16x1+24 1000.0(0)/mV 16 0 -107 19925 0 III
E09884.mat 16x1+24 1000.0(0)/mV 16 0 43 -3376 0 aVR
E09884.mat 16x1+24 1000.0(0)/mV 16 0 58 -13612 0 aVL
E09884.mat 16x1+24 1000.0(0)/mV 16 0 -102 16495 0 aVF
E09884.mat 16x1+24 1000.0(0)/mV 16 0 19 7384 0 V1
E09884.mat 16x1+24 1000.0(0)/mV 16 0 19 -1334 0 V2
E09884.mat 16x1+24 1000.0(0)/mV 16 0 39 -10790 0 V3
E09884.mat 16x1+24 1000.0(0)/mV 16 0 -19 -879 0 V4
E09884.mat 16x1+24 1000.0(0)/mV 16 0 19 -22672 0 V5
E09884.mat 16x1+24 1000.0(0)/mV 16 0 48 24735 0 V6
# Age: 51
# Sex: Female
# Dx: 425419005,164934002,164890007,251139008
# Rx: Unknown
# Hx: Unknown