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

File: <base>/training/georgia/g10/E09691.hea (741 bytes) 
E09691 12 500 5000
E09691.mat 16x1+24 1000.0(0)/mV 16 0 1112 6167 0 I
E09691.mat 16x1+24 1000.0(0)/mV 16 0 283 5448 0 II
E09691.mat 16x1+24 1000.0(0)/mV 16 0 -829 -974 0 III
E09691.mat 16x1+24 1000.0(0)/mV 16 0 -697 -6082 0 aVR
E09691.mat 16x1+24 1000.0(0)/mV 16 0 971 3698 0 aVL
E09691.mat 16x1+24 1000.0(0)/mV 16 0 -273 1781 0 aVF
E09691.mat 16x1+24 1000.0(0)/mV 16 0 -1776 15518 0 V1
E09691.mat 16x1+24 1000.0(0)/mV 16 0 -2235 10956 0 V2
E09691.mat 16x1+24 1000.0(0)/mV 16 0 -1122 15928 0 V3
E09691.mat 16x1+24 1000.0(0)/mV 16 0 -322 28208 0 V4
E09691.mat 16x1+24 1000.0(0)/mV 16 0 400 30291 0 V5
E09691.mat 16x1+24 1000.0(0)/mV 16 0 702 -26747 0 V6
# Age: 44
# Sex: Female
# Dx: 428750005,427084000,164873001
# Rx: Unknown
# Hx: Unknown