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

File: <base>/training/georgia/g10/E09927.hea (711 bytes) 
E09927 12 500 5000
E09927.mat 16x1+24 1000.0(0)/mV 16 0 146 -8274 0 I
E09927.mat 16x1+24 1000.0(0)/mV 16 0 380 8796 0 II
E09927.mat 16x1+24 1000.0(0)/mV 16 0 234 17471 0 III
E09927.mat 16x1+24 1000.0(0)/mV 16 0 -263 32467 0 aVR
E09927.mat 16x1+24 1000.0(0)/mV 16 0 -43 19843 0 aVL
E09927.mat 16x1+24 1000.0(0)/mV 16 0 307 13261 0 aVF
E09927.mat 16x1+24 1000.0(0)/mV 16 0 48 31578 0 V1
E09927.mat 16x1+24 1000.0(0)/mV 16 0 351 -28009 0 V2
E09927.mat 16x1+24 1000.0(0)/mV 16 0 585 29235 0 V3
E09927.mat 16x1+24 1000.0(0)/mV 16 0 517 12437 0 V4
E09927.mat 16x1+24 1000.0(0)/mV 16 0 322 -3131 0 V5
E09927.mat 16x1+24 1000.0(0)/mV 16 0 165 8604 0 V6
# Age: 25
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown