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

File: <base>/training/georgia/g9/E08906.hea (718 bytes) 
E08906 12 500 5000
E08906.mat 16x1+24 1000.0(0)/mV 16 0 -136 -4350 0 I
E08906.mat 16x1+24 1000.0(0)/mV 16 0 -126 -22550 0 II
E08906.mat 16x1+24 1000.0(0)/mV 16 0 9 -18290 0 III
E08906.mat 16x1+24 1000.0(0)/mV 16 0 131 13428 0 aVR
E08906.mat 16x1+24 1000.0(0)/mV 16 0 -73 -25309 0 aVL
E08906.mat 16x1+24 1000.0(0)/mV 16 0 -58 12367 0 aVF
E08906.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19007 0 V1
E08906.mat 16x1+24 1000.0(0)/mV 16 0 58 31451 0 V2
E08906.mat 16x1+24 1000.0(0)/mV 16 0 126 -28719 0 V3
E08906.mat 16x1+24 1000.0(0)/mV 16 0 0 -11800 0 V4
E08906.mat 16x1+24 1000.0(0)/mV 16 0 -29 24790 0 V5
E08906.mat 16x1+24 1000.0(0)/mV 16 0 -58 -25337 0 V6
# Age: 66
# Sex: Female
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown