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

File: <base>/training/georgia/g10/E09919.hea (734 bytes) 
E09919 12 500 5000
E09919.mat 16x1+24 1000.0(0)/mV 16 0 -4 -17239 0 I
E09919.mat 16x1+24 1000.0(0)/mV 16 0 -19 30348 0 II
E09919.mat 16x1+24 1000.0(0)/mV 16 0 -14 -17221 0 III
E09919.mat 16x1+24 1000.0(0)/mV 16 0 12 26485 0 aVR
E09919.mat 16x1+24 1000.0(0)/mV 16 0 4 -269 0 aVL
E09919.mat 16x1+24 1000.0(0)/mV 16 0 -17 -26076 0 aVF
E09919.mat 16x1+24 1000.0(0)/mV 16 0 -24 -5788 0 V1
E09919.mat 16x1+24 1000.0(0)/mV 16 0 -82 15544 0 V2
E09919.mat 16x1+24 1000.0(0)/mV 16 0 -73 -21835 0 V3
E09919.mat 16x1+24 1000.0(0)/mV 16 0 34 -20748 0 V4
E09919.mat 16x1+24 1000.0(0)/mV 16 0 -43 24628 0 V5
E09919.mat 16x1+24 1000.0(0)/mV 16 0 -58 -15627 0 V6
# Age: 67
# Sex: Female
# Dx: 270492004,426177001,427393009
# Rx: Unknown
# Hx: Unknown