Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(732 bytes)
E08519 12 500 5000
E08519.mat 16x1+24 1000.0(0)/mV 16 0 -48 287 0 I
E08519.mat 16x1+24 1000.0(0)/mV 16 0 -78 -16220 0 II
E08519.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15921 0 III
E08519.mat 16x1+24 1000.0(0)/mV 16 0 63 7848 0 aVR
E08519.mat 16x1+24 1000.0(0)/mV 16 0 -9 8389 0 aVL
E08519.mat 16x1+24 1000.0(0)/mV 16 0 -53 -15989 0 aVF
E08519.mat 16x1+24 1000.0(0)/mV 16 0 39 -16809 0 V1
E08519.mat 16x1+24 1000.0(0)/mV 16 0 -19 -21527 0 V2
E08519.mat 16x1+24 1000.0(0)/mV 16 0 -78 -16665 0 V3
E08519.mat 16x1+24 1000.0(0)/mV 16 0 -97 -7812 0 V4
E08519.mat 16x1+24 1000.0(0)/mV 16 0 -117 -2233 0 V5
E08519.mat 16x1+24 1000.0(0)/mV 16 0 -87 -8046 0 V6
# Age: 66
# Sex: Male
# Dx: 284470004,284470004,284470004
# Rx: Unknown
# Hx: Unknown