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

File: <base>/training/georgia/g5/E04753.hea (772 bytes) 
E04753 12 500 5000
E04753.mat 16x1+24 1000.0(0)/mV 16 0 -19 13694 0 I
E04753.mat 16x1+24 1000.0(0)/mV 16 0 -9 -18666 0 II
E04753.mat 16x1+24 1000.0(0)/mV 16 0 9 -31967 0 III
E04753.mat 16x1+24 1000.0(0)/mV 16 0 14 2247 0 aVR
E04753.mat 16x1+24 1000.0(0)/mV 16 0 -14 22971 0 aVL
E04753.mat 16x1+24 1000.0(0)/mV 16 0 0 -25414 0 aVF
E04753.mat 16x1+24 1000.0(0)/mV 16 0 -19 23808 0 V1
E04753.mat 16x1+24 1000.0(0)/mV 16 0 -19 26845 0 V2
E04753.mat 16x1+24 1000.0(0)/mV 16 0 29 3282 0 V3
E04753.mat 16x1+24 1000.0(0)/mV 16 0 -117 15525 0 V4
E04753.mat 16x1+24 1000.0(0)/mV 16 0 -302 -7728 0 V5
E04753.mat 16x1+24 1000.0(0)/mV 16 0 29 21543 0 V6
# Age: 43
# Sex: Male
# Dx: 67741000119109,111975006,164930006,426177001,425623009,164934002,164873001
# Rx: Unknown
# Hx: Unknown