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

File: <base>/training/georgia/g10/E09617.hea (731 bytes) 
E09617 12 500 5000
E09617.mat 16x1+24 1000.0(0)/mV 16 0 595 -8359 0 I
E09617.mat 16x1+24 1000.0(0)/mV 16 0 -322 15073 0 II
E09617.mat 16x1+24 1000.0(0)/mV 16 0 -917 23345 0 III
E09617.mat 16x1+24 1000.0(0)/mV 16 0 -136 29717 0 aVR
E09617.mat 16x1+24 1000.0(0)/mV 16 0 756 17264 0 aVL
E09617.mat 16x1+24 1000.0(0)/mV 16 0 -619 19195 0 aVF
E09617.mat 16x1+24 1000.0(0)/mV 16 0 -273 -3891 0 V1
E09617.mat 16x1+24 1000.0(0)/mV 16 0 -43 -8189 0 V2
E09617.mat 16x1+24 1000.0(0)/mV 16 0 -195 -5599 0 V3
E09617.mat 16x1+24 1000.0(0)/mV 16 0 -473 24578 0 V4
E09617.mat 16x1+24 1000.0(0)/mV 16 0 -390 17018 0 V5
E09617.mat 16x1+24 1000.0(0)/mV 16 0 -346 -10123 0 V6
# Age: 68
# Sex: Male
# Dx: 39732003,427084000
# Rx: Unknown
# Hx: Unknown