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

File: <base>/training/georgia/g9/E08887.hea (707 bytes) 
E08887 12 500 5000
E08887.mat 16x1+24 1000.0(0)/mV 16 0 -48 -4875 0 I
E08887.mat 16x1+24 1000.0(0)/mV 16 0 0 -24328 0 II
E08887.mat 16x1+24 1000.0(0)/mV 16 0 48 -18492 0 III
E08887.mat 16x1+24 1000.0(0)/mV 16 0 24 15109 0 aVR
E08887.mat 16x1+24 1000.0(0)/mV 16 0 -48 6578 0 aVL
E08887.mat 16x1+24 1000.0(0)/mV 16 0 24 -21276 0 aVF
E08887.mat 16x1+24 1000.0(0)/mV 16 0 -29 11073 0 V1
E08887.mat 16x1+24 1000.0(0)/mV 16 0 -175 8429 0 V2
E08887.mat 16x1+24 1000.0(0)/mV 16 0 -48 -7463 0 V3
E08887.mat 16x1+24 1000.0(0)/mV 16 0 -19 25577 0 V4
E08887.mat 16x1+24 1000.0(0)/mV 16 0 -29 11408 0 V5
E08887.mat 16x1+24 1000.0(0)/mV 16 0 -19 948 0 V6
# Age: 84
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown