Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(738 bytes)
E07991 12 500 5000
E07991.mat 16x1+24 1000.0(0)/mV 16 0 -68 28074 0 I
E07991.mat 16x1+24 1000.0(0)/mV 16 0 -68 435 0 II
E07991.mat 16x1+24 1000.0(0)/mV 16 0 0 -28169 0 III
E07991.mat 16x1+24 1000.0(0)/mV 16 0 68 18386 0 aVR
E07991.mat 16x1+24 1000.0(0)/mV 16 0 -34 28042 0 aVL
E07991.mat 16x1+24 1000.0(0)/mV 16 0 -34 19636 0 aVF
E07991.mat 16x1+24 1000.0(0)/mV 16 0 9 -16050 0 V1
E07991.mat 16x1+24 1000.0(0)/mV 16 0 -87 7044 0 V2
E07991.mat 16x1+24 1000.0(0)/mV 16 0 -48 -13729 0 V3
E07991.mat 16x1+24 1000.0(0)/mV 16 0 -39 -14995 0 V4
E07991.mat 16x1+24 1000.0(0)/mV 16 0 -39 -16807 0 V5
E07991.mat 16x1+24 1000.0(0)/mV 16 0 -39 28408 0 V6
# Age: 40
# Sex: Male
# Dx: 428750005,426177001,59931005,251146004
# Rx: Unknown
# Hx: Unknown