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

File: <base>/training/georgia/g9/E08502.hea (735 bytes) 
E08502 12 500 5000
E08502.mat 16x1+24 1000.0(0)/mV 16 0 0 3243 0 I
E08502.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24323 0 II
E08502.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27276 0 III
E08502.mat 16x1+24 1000.0(0)/mV 16 0 4 -22262 0 aVR
E08502.mat 16x1+24 1000.0(0)/mV 16 0 4 -17070 0 aVL
E08502.mat 16x1+24 1000.0(0)/mV 16 0 -9 -25884 0 aVF
E08502.mat 16x1+24 1000.0(0)/mV 16 0 39 4026 0 V1
E08502.mat 16x1+24 1000.0(0)/mV 16 0 -19 15880 0 V2
E08502.mat 16x1+24 1000.0(0)/mV 16 0 -244 21911 0 V3
E08502.mat 16x1+24 1000.0(0)/mV 16 0 -48 -40 0 V4
E08502.mat 16x1+24 1000.0(0)/mV 16 0 -19 18312 0 V5
E08502.mat 16x1+24 1000.0(0)/mV 16 0 -48 -31263 0 V6
# Age: 65
# Sex: Male
# Dx: 713426002,270492004,426177001,427393009
# Rx: Unknown
# Hx: Unknown