Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(712 bytes)
E00457 12 500 5000
E00457.mat 16x1+24 1000.0(0)/mV 16 0 -19 6003 0 I
E00457.mat 16x1+24 1000.0(0)/mV 16 0 -48 -25338 0 II
E00457.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30932 0 III
E00457.mat 16x1+24 1000.0(0)/mV 16 0 34 -23210 0 aVR
E00457.mat 16x1+24 1000.0(0)/mV 16 0 4 18680 0 aVL
E00457.mat 16x1+24 1000.0(0)/mV 16 0 -39 4446 0 aVF
E00457.mat 16x1+24 1000.0(0)/mV 16 0 0 -23965 0 V1
E00457.mat 16x1+24 1000.0(0)/mV 16 0 -29 10875 0 V2
E00457.mat 16x1+24 1000.0(0)/mV 16 0 -117 -25484 0 V3
E00457.mat 16x1+24 1000.0(0)/mV 16 0 -29 21828 0 V4
E00457.mat 16x1+24 1000.0(0)/mV 16 0 -9 17483 0 V5
E00457.mat 16x1+24 1000.0(0)/mV 16 0 -19 21951 0 V6
# Age: 60
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown