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

File: <base>/training/georgia/g5/E04093.hea (735 bytes) 
E04093 12 500 5000
E04093.mat 16x1+24 1000.0(0)/mV 16 0 29 -17925 0 I
E04093.mat 16x1+24 1000.0(0)/mV 16 0 146 -2306 0 II
E04093.mat 16x1+24 1000.0(0)/mV 16 0 117 15907 0 III
E04093.mat 16x1+24 1000.0(0)/mV 16 0 -87 -22814 0 aVR
E04093.mat 16x1+24 1000.0(0)/mV 16 0 -43 15798 0 aVL
E04093.mat 16x1+24 1000.0(0)/mV 16 0 131 6738 0 aVF
E04093.mat 16x1+24 1000.0(0)/mV 16 0 0 17557 0 V1
E04093.mat 16x1+24 1000.0(0)/mV 16 0 58 16211 0 V2
E04093.mat 16x1+24 1000.0(0)/mV 16 0 48 -26128 0 V3
E04093.mat 16x1+24 1000.0(0)/mV 16 0 -9 2008 0 V4
E04093.mat 16x1+24 1000.0(0)/mV 16 0 322 727 0 V5
E04093.mat 16x1+24 1000.0(0)/mV 16 0 -117 22568 0 V6
# Age: 74
# Sex: Male
# Dx: 59931005,164934002,111975006,251268003
# Rx: Unknown
# Hx: Unknown