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

File: <base>/training/georgia/g10/E09109.hea (713 bytes) 
E09109 12 500 5000
E09109.mat 16x1+24 1000.0(0)/mV 16 0 14 29602 0 I
E09109.mat 16x1+24 1000.0(0)/mV 16 0 43 -11840 0 II
E09109.mat 16x1+24 1000.0(0)/mV 16 0 29 25021 0 III
E09109.mat 16x1+24 1000.0(0)/mV 16 0 -29 24011 0 aVR
E09109.mat 16x1+24 1000.0(0)/mV 16 0 -7 -30299 0 aVL
E09109.mat 16x1+24 1000.0(0)/mV 16 0 36 6615 0 aVF
E09109.mat 16x1+24 1000.0(0)/mV 16 0 -9 -28797 0 V1
E09109.mat 16x1+24 1000.0(0)/mV 16 0 78 -12660 0 V2
E09109.mat 16x1+24 1000.0(0)/mV 16 0 112 -18973 0 V3
E09109.mat 16x1+24 1000.0(0)/mV 16 0 19 23168 0 V4
E09109.mat 16x1+24 1000.0(0)/mV 16 0 29 -32260 0 V5
E09109.mat 16x1+24 1000.0(0)/mV 16 0 -82 -6527 0 V6
# Age: 61
# Sex: Male
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown