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

File: <base>/training/georgia/g10/E09187.hea (710 bytes) 
E09187 12 500 5000
E09187.mat 16x1+24 1000.0(0)/mV 16 0 -29 12514 0 I
E09187.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21547 0 II
E09187.mat 16x1+24 1000.0(0)/mV 16 0 19 32273 0 III
E09187.mat 16x1+24 1000.0(0)/mV 16 0 19 -28107 0 aVR
E09187.mat 16x1+24 1000.0(0)/mV 16 0 -24 22710 0 aVL
E09187.mat 16x1+24 1000.0(0)/mV 16 0 4 5245 0 aVF
E09187.mat 16x1+24 1000.0(0)/mV 16 0 29 -4957 0 V1
E09187.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20749 0 V2
E09187.mat 16x1+24 1000.0(0)/mV 16 0 9 -25105 0 V3
E09187.mat 16x1+24 1000.0(0)/mV 16 0 9 -6160 0 V4
E09187.mat 16x1+24 1000.0(0)/mV 16 0 9 -19336 0 V5
E09187.mat 16x1+24 1000.0(0)/mV 16 0 0 -9088 0 V6
# Age: 75
# Sex: Male
# Dx: 39732003,426177001
# Rx: Unknown
# Hx: Unknown