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

File: <base>/training/georgia/g9/E08909.hea (716 bytes)
E08909 12 500 5000
E08909.mat 16x1+24 1000.0(0)/mV 16 0 -97 -2409 0 I
E08909.mat 16x1+24 1000.0(0)/mV 16 0 -107 -11776 0 II
E08909.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10042 0 III
E08909.mat 16x1+24 1000.0(0)/mV 16 0 102 7011 0 aVR
E08909.mat 16x1+24 1000.0(0)/mV 16 0 -43 -28925 0 aVL
E08909.mat 16x1+24 1000.0(0)/mV 16 0 -58 22196 0 aVF
E08909.mat 16x1+24 1000.0(0)/mV 16 0 19 -25468 0 V1
E08909.mat 16x1+24 1000.0(0)/mV 16 0 -39 15626 0 V2
E08909.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24432 0 V3
E08909.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25421 0 V4
E08909.mat 16x1+24 1000.0(0)/mV 16 0 0 -15628 0 V5
E08909.mat 16x1+24 1000.0(0)/mV 16 0 -29 -14972 0 V6
# Age: 68
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown