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

File: <base>/training/georgia/g10/E09528.hea (712 bytes) 
E09528 12 500 5000
E09528.mat 16x1+24 1000.0(0)/mV 16 0 -53 -9629 0 I
E09528.mat 16x1+24 1000.0(0)/mV 16 0 -53 32730 0 II
E09528.mat 16x1+24 1000.0(0)/mV 16 0 0 -22521 0 III
E09528.mat 16x1+24 1000.0(0)/mV 16 0 53 21116 0 aVR
E09528.mat 16x1+24 1000.0(0)/mV 16 0 -26 6109 0 aVL
E09528.mat 16x1+24 1000.0(0)/mV 16 0 -26 -27660 0 aVF
E09528.mat 16x1+24 1000.0(0)/mV 16 0 78 -27858 0 V1
E09528.mat 16x1+24 1000.0(0)/mV 16 0 39 -24329 0 V2
E09528.mat 16x1+24 1000.0(0)/mV 16 0 43 30226 0 V3
E09528.mat 16x1+24 1000.0(0)/mV 16 0 -53 -22788 0 V4
E09528.mat 16x1+24 1000.0(0)/mV 16 0 -97 -13208 0 V5
E09528.mat 16x1+24 1000.0(0)/mV 16 0 -78 6204 0 V6
# Age: 66
# Sex: Female
# Dx: 111975006
# Rx: Unknown
# Hx: Unknown