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

File: <base>/training/georgia/g7/E06835.hea (712 bytes) 
E06835 12 500 5000
E06835.mat 16x1+24 1000.0(0)/mV 16 0 -97 -11737 0 I
E06835.mat 16x1+24 1000.0(0)/mV 16 0 -107 -12930 0 II
E06835.mat 16x1+24 1000.0(0)/mV 16 0 -9 -308 0 III
E06835.mat 16x1+24 1000.0(0)/mV 16 0 102 12313 0 aVR
E06835.mat 16x1+24 1000.0(0)/mV 16 0 -43 -4871 0 aVL
E06835.mat 16x1+24 1000.0(0)/mV 16 0 -58 -6301 0 aVF
E06835.mat 16x1+24 1000.0(0)/mV 16 0 -4 9680 0 V1
E06835.mat 16x1+24 1000.0(0)/mV 16 0 -92 17667 0 V2
E06835.mat 16x1+24 1000.0(0)/mV 16 0 -122 11538 0 V3
E06835.mat 16x1+24 1000.0(0)/mV 16 0 -151 -57 0 V4
E06835.mat 16x1+24 1000.0(0)/mV 16 0 87 2701 0 V5
E06835.mat 16x1+24 1000.0(0)/mV 16 0 -73 -11287 0 V6
# Age: 40
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown