Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(721 bytes)
E01581 12 500 5000
E01581.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4953 0 I
E01581.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8990 0 II
E01581.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4471 0 III
E01581.mat 16x1+24 1000.0(0)/mV 16 0 29 6677 0 aVR
E01581.mat 16x1+24 1000.0(0)/mV 16 0 0 -260 0 aVL
E01581.mat 16x1+24 1000.0(0)/mV 16 0 -29 -7186 0 aVF
E01581.mat 16x1+24 1000.0(0)/mV 16 0 9 -20360 0 V1
E01581.mat 16x1+24 1000.0(0)/mV 16 0 -546 -25668 0 V2
E01581.mat 16x1+24 1000.0(0)/mV 16 0 -97 -20442 0 V3
E01581.mat 16x1+24 1000.0(0)/mV 16 0 -146 11209 0 V4
E01581.mat 16x1+24 1000.0(0)/mV 16 0 -244 8161 0 V5
E01581.mat 16x1+24 1000.0(0)/mV 16 0 -136 14942 0 V6
# Age: 68
# Sex: Male
# Dx: 427084000,164934002
# Rx: Unknown
# Hx: Unknown