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

File: <base>/training/georgia/g10/E09887.hea (733 bytes) 
E09887 12 500 5000
E09887.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24106 0 I
E09887.mat 16x1+24 1000.0(0)/mV 16 0 -43 -20943 0 II
E09887.mat 16x1+24 1000.0(0)/mV 16 0 -14 3504 0 III
E09887.mat 16x1+24 1000.0(0)/mV 16 0 36 22518 0 aVR
E09887.mat 16x1+24 1000.0(0)/mV 16 0 -7 -13676 0 aVL
E09887.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8664 0 aVF
E09887.mat 16x1+24 1000.0(0)/mV 16 0 -58 -30316 0 V1
E09887.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30610 0 V2
E09887.mat 16x1+24 1000.0(0)/mV 16 0 14 10146 0 V3
E09887.mat 16x1+24 1000.0(0)/mV 16 0 9 -7525 0 V4
E09887.mat 16x1+24 1000.0(0)/mV 16 0 -14 13950 0 V5
E09887.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22942 0 V6
# Age: 72
# Sex: Female
# Dx: 59118001,164889003,425419005
# Rx: Unknown
# Hx: Unknown