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

File: <base>/training/georgia/g10/E09609.hea (726 bytes) 
E09609 12 500 5000
E09609.mat 16x1+24 1000.0(0)/mV 16 0 -253 -17748 0 I
E09609.mat 16x1+24 1000.0(0)/mV 16 0 -458 11154 0 II
E09609.mat 16x1+24 1000.0(0)/mV 16 0 -204 30033 0 III
E09609.mat 16x1+24 1000.0(0)/mV 16 0 356 3677 0 aVR
E09609.mat 16x1+24 1000.0(0)/mV 16 0 -24 -24093 0 aVL
E09609.mat 16x1+24 1000.0(0)/mV 16 0 -331 20591 0 aVF
E09609.mat 16x1+24 1000.0(0)/mV 16 0 165 20962 0 V1
E09609.mat 16x1+24 1000.0(0)/mV 16 0 468 23463 0 V2
E09609.mat 16x1+24 1000.0(0)/mV 16 0 -39 -183 0 V3
E09609.mat 16x1+24 1000.0(0)/mV 16 0 -151 9603 0 V4
E09609.mat 16x1+24 1000.0(0)/mV 16 0 -97 3804 0 V5
E09609.mat 16x1+24 1000.0(0)/mV 16 0 -126 331 0 V6
# Age: 78
# Sex: Female
# Dx: 428750005,164921003
# Rx: Unknown
# Hx: Unknown