Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(737 bytes)
E03184 12 500 5000
E03184.mat 16x1+24 1000.0(0)/mV 16 0 19 -17083 0 I
E03184.mat 16x1+24 1000.0(0)/mV 16 0 -48 -2223 0 II
E03184.mat 16x1+24 1000.0(0)/mV 16 0 -68 15588 0 III
E03184.mat 16x1+24 1000.0(0)/mV 16 0 14 -22621 0 aVR
E03184.mat 16x1+24 1000.0(0)/mV 16 0 43 16521 0 aVL
E03184.mat 16x1+24 1000.0(0)/mV 16 0 -58 6669 0 aVF
E03184.mat 16x1+24 1000.0(0)/mV 16 0 58 29629 0 V1
E03184.mat 16x1+24 1000.0(0)/mV 16 0 -78 459 0 V2
E03184.mat 16x1+24 1000.0(0)/mV 16 0 -39 -4426 0 V3
E03184.mat 16x1+24 1000.0(0)/mV 16 0 39 -31902 0 V4
E03184.mat 16x1+24 1000.0(0)/mV 16 0 214 -19023 0 V5
E03184.mat 16x1+24 1000.0(0)/mV 16 0 9 13358 0 V6
# Age: 65
# Sex: Female
# Dx: 445118002,428750005,164934002,59931005
# Rx: Unknown
# Hx: Unknown