Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(733 bytes)
E06749 12 500 5000
E06749.mat 16x1+24 1000.0(0)/mV 16 0 19 -25886 0 I
E06749.mat 16x1+24 1000.0(0)/mV 16 0 0 30294 0 II
E06749.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8985 0 III
E06749.mat 16x1+24 1000.0(0)/mV 16 0 -9 30483 0 aVR
E06749.mat 16x1+24 1000.0(0)/mV 16 0 19 -8236 0 aVL
E06749.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21950 0 aVF
E06749.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19481 0 V1
E06749.mat 16x1+24 1000.0(0)/mV 16 0 19 26103 0 V2
E06749.mat 16x1+24 1000.0(0)/mV 16 0 29 -20270 0 V3
E06749.mat 16x1+24 1000.0(0)/mV 16 0 48 -21820 0 V4
E06749.mat 16x1+24 1000.0(0)/mV 16 0 68 -10854 0 V5
E06749.mat 16x1+24 1000.0(0)/mV 16 0 97 -20418 0 V6
# Age: 81
# Sex: Male
# Dx: 428750005,67741000119109,427084000
# Rx: Unknown
# Hx: Unknown