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

File: <base>/training/georgia/g10/E09058.hea (714 bytes) 
E09058 12 500 5000
E09058.mat 16x1+24 1000.0(0)/mV 16 0 -29 29881 0 I
E09058.mat 16x1+24 1000.0(0)/mV 16 0 19 23718 0 II
E09058.mat 16x1+24 1000.0(0)/mV 16 0 48 -5984 0 III
E09058.mat 16x1+24 1000.0(0)/mV 16 0 4 5721 0 aVR
E09058.mat 16x1+24 1000.0(0)/mV 16 0 -39 17852 0 aVL
E09058.mat 16x1+24 1000.0(0)/mV 16 0 34 -23928 0 aVF
E09058.mat 16x1+24 1000.0(0)/mV 16 0 0 -20848 0 V1
E09058.mat 16x1+24 1000.0(0)/mV 16 0 -19 2162 0 V2
E09058.mat 16x1+24 1000.0(0)/mV 16 0 -19 32647 0 V3
E09058.mat 16x1+24 1000.0(0)/mV 16 0 0 -14353 0 V4
E09058.mat 16x1+24 1000.0(0)/mV 16 0 -9 25746 0 V5
E09058.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14850 0 V6
# Age: 74
# Sex: Male
# Dx: 284470004,284470004
# Rx: Unknown
# Hx: Unknown