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

File: <base>/training/georgia/g10/E09670.hea (711 bytes) 
E09670 12 500 5000
E09670.mat 16x1+24 1000.0(0)/mV 16 0 -9 17580 0 I
E09670.mat 16x1+24 1000.0(0)/mV 16 0 -19 6529 0 II
E09670.mat 16x1+24 1000.0(0)/mV 16 0 -9 -11052 0 III
E09670.mat 16x1+24 1000.0(0)/mV 16 0 14 -12006 0 aVR
E09670.mat 16x1+24 1000.0(0)/mV 16 0 0 14739 0 aVL
E09670.mat 16x1+24 1000.0(0)/mV 16 0 -14 -1869 0 aVF
E09670.mat 16x1+24 1000.0(0)/mV 16 0 48 -9287 0 V1
E09670.mat 16x1+24 1000.0(0)/mV 16 0 48 -2203 0 V2
E09670.mat 16x1+24 1000.0(0)/mV 16 0 19 636 0 V3
E09670.mat 16x1+24 1000.0(0)/mV 16 0 0 68 0 V4
E09670.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1637 0 V5
E09670.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11986 0 V6
# Age: 67
# Sex: Female
# Dx: 164884008,427393009
# Rx: Unknown
# Hx: Unknown