Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(740 bytes)
E00606 12 500 5000
E00606.mat 16x1+24 1000.0(0)/mV 16 0 -117 -32435 0 I
E00606.mat 16x1+24 1000.0(0)/mV 16 0 -39 -13755 0 II
E00606.mat 16x1+24 1000.0(0)/mV 16 0 78 19303 0 III
E00606.mat 16x1+24 1000.0(0)/mV 16 0 78 -9577 0 aVR
E00606.mat 16x1+24 1000.0(0)/mV 16 0 -97 6584 0 aVL
E00606.mat 16x1+24 1000.0(0)/mV 16 0 19 2447 0 aVF
E00606.mat 16x1+24 1000.0(0)/mV 16 0 29 -9467 0 V1
E00606.mat 16x1+24 1000.0(0)/mV 16 0 0 -30415 0 V2
E00606.mat 16x1+24 1000.0(0)/mV 16 0 -39 -15137 0 V3
E00606.mat 16x1+24 1000.0(0)/mV 16 0 -48 27027 0 V4
E00606.mat 16x1+24 1000.0(0)/mV 16 0 -68 -6893 0 V5
E00606.mat 16x1+24 1000.0(0)/mV 16 0 -68 10653 0 V6
# Age: 80
# Sex: Female
# Dx: 428750005,59931005,284470004,284470004
# Rx: Unknown
# Hx: Unknown