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

File: <base>/training/georgia/g10/E09575.hea (715 bytes) 
E09575 12 500 5000
E09575.mat 16x1+24 1000.0(0)/mV 16 0 -4 -4738 0 I
E09575.mat 16x1+24 1000.0(0)/mV 16 0 -390 -9958 0 II
E09575.mat 16x1+24 1000.0(0)/mV 16 0 -385 -5110 0 III
E09575.mat 16x1+24 1000.0(0)/mV 16 0 197 -25614 0 aVR
E09575.mat 16x1+24 1000.0(0)/mV 16 0 190 -32764 0 aVL
E09575.mat 16x1+24 1000.0(0)/mV 16 0 -387 -7507 0 aVF
E09575.mat 16x1+24 1000.0(0)/mV 16 0 165 -1714 0 V1
E09575.mat 16x1+24 1000.0(0)/mV 16 0 224 -4191 0 V2
E09575.mat 16x1+24 1000.0(0)/mV 16 0 34 -14095 0 V3
E09575.mat 16x1+24 1000.0(0)/mV 16 0 48 -8567 0 V4
E09575.mat 16x1+24 1000.0(0)/mV 16 0 39 8185 0 V5
E09575.mat 16x1+24 1000.0(0)/mV 16 0 -19 24533 0 V6
# Age: 65
# Sex: Female
# Dx: 111975006
# Rx: Unknown
# Hx: Unknown