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

File: <base>/training/georgia/g10/E09676.hea (729 bytes) 
E09676 12 500 5000
E09676.mat 16x1+24 1000.0(0)/mV 16 0 -39 -28730 0 I
E09676.mat 16x1+24 1000.0(0)/mV 16 0 -58 26706 0 II
E09676.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9787 0 III
E09676.mat 16x1+24 1000.0(0)/mV 16 0 48 -31709 0 aVR
E09676.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8682 0 aVL
E09676.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23949 0 aVF
E09676.mat 16x1+24 1000.0(0)/mV 16 0 19 8543 0 V1
E09676.mat 16x1+24 1000.0(0)/mV 16 0 19 14563 0 V2
E09676.mat 16x1+24 1000.0(0)/mV 16 0 -19 1577 0 V3
E09676.mat 16x1+24 1000.0(0)/mV 16 0 -78 -6566 0 V4
E09676.mat 16x1+24 1000.0(0)/mV 16 0 -97 -22780 0 V5
E09676.mat 16x1+24 1000.0(0)/mV 16 0 -68 -7612 0 V6
# Age: 65
# Sex: Male
# Dx: 713426002,59118001,426177001
# Rx: Unknown
# Hx: Unknown