Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(771 bytes)
E05319 12 500 5000
E05319.mat 16x1+24 1000.0(0)/mV 16 0 -204 -575 0 I
E05319.mat 16x1+24 1000.0(0)/mV 16 0 -48 24481 0 II
E05319.mat 16x1+24 1000.0(0)/mV 16 0 156 25650 0 III
E05319.mat 16x1+24 1000.0(0)/mV 16 0 126 -11994 0 aVR
E05319.mat 16x1+24 1000.0(0)/mV 16 0 -180 -12825 0 aVL
E05319.mat 16x1+24 1000.0(0)/mV 16 0 53 25200 0 aVF
E05319.mat 16x1+24 1000.0(0)/mV 16 0 -97 10034 0 V1
E05319.mat 16x1+24 1000.0(0)/mV 16 0 -102 26469 0 V2
E05319.mat 16x1+24 1000.0(0)/mV 16 0 48 -17310 0 V3
E05319.mat 16x1+24 1000.0(0)/mV 16 0 58 -11975 0 V4
E05319.mat 16x1+24 1000.0(0)/mV 16 0 43 -13700 0 V5
E05319.mat 16x1+24 1000.0(0)/mV 16 0 43 -23679 0 V6
# Age: 54
# Sex: Female
# Dx: 428750005,67741000119109,164934002,426434006,427084000,59931005
# Rx: Unknown
# Hx: Unknown