Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(746 bytes)
E06473 12 500 5000
E06473.mat 16x1+24 1000.0(0)/mV 16 0 9 11095 0 I
E06473.mat 16x1+24 1000.0(0)/mV 16 0 -24 19123 0 II
E06473.mat 16x1+24 1000.0(0)/mV 16 0 -34 8460 0 III
E06473.mat 16x1+24 1000.0(0)/mV 16 0 7 17681 0 aVR
E06473.mat 16x1+24 1000.0(0)/mV 16 0 21 -31324 0 aVL
E06473.mat 16x1+24 1000.0(0)/mV 16 0 -29 14328 0 aVF
E06473.mat 16x1+24 1000.0(0)/mV 16 0 4 9151 0 V1
E06473.mat 16x1+24 1000.0(0)/mV 16 0 -29 17647 0 V2
E06473.mat 16x1+24 1000.0(0)/mV 16 0 -73 -14446 0 V3
E06473.mat 16x1+24 1000.0(0)/mV 16 0 -82 13468 0 V4
E06473.mat 16x1+24 1000.0(0)/mV 16 0 -170 12471 0 V5
E06473.mat 16x1+24 1000.0(0)/mV 16 0 -82 675 0 V6
# Age: 53
# Sex: Female
# Dx: 164889003,427084000,251146004,284470004,284470004
# Rx: Unknown
# Hx: Unknown