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

File: <base>/training/georgia/g1/E00659.hea (725 bytes) 
E00659 12 500 5000
E00659.mat 16x1+24 1000.0(0)/mV 16 0 -14 -29536 0 I
E00659.mat 16x1+24 1000.0(0)/mV 16 0 -39 27852 0 II
E00659.mat 16x1+24 1000.0(0)/mV 16 0 -24 -7549 0 III
E00659.mat 16x1+24 1000.0(0)/mV 16 0 26 771 0 aVR
E00659.mat 16x1+24 1000.0(0)/mV 16 0 4 21796 0 aVL
E00659.mat 16x1+24 1000.0(0)/mV 16 0 -31 -22521 0 aVF
E00659.mat 16x1+24 1000.0(0)/mV 16 0 -24 31026 0 V1
E00659.mat 16x1+24 1000.0(0)/mV 16 0 -58 -5495 0 V2
E00659.mat 16x1+24 1000.0(0)/mV 16 0 -4 27975 0 V3
E00659.mat 16x1+24 1000.0(0)/mV 16 0 -9 5734 0 V4
E00659.mat 16x1+24 1000.0(0)/mV 16 0 -82 31641 0 V5
E00659.mat 16x1+24 1000.0(0)/mV 16 0 -34 -15931 0 V6
# Age: 88
# Sex: Male
# Dx: 59118001,39732003,270492004
# Rx: Unknown
# Hx: Unknown