Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(718 bytes)
E09444 12 500 5000
E09444.mat 16x1+24 1000.0(0)/mV 16 0 -9 29955 0 I
E09444.mat 16x1+24 1000.0(0)/mV 16 0 9 -3804 0 II
E09444.mat 16x1+24 1000.0(0)/mV 16 0 19 32170 0 III
E09444.mat 16x1+24 1000.0(0)/mV 16 0 0 19599 0 aVR
E09444.mat 16x1+24 1000.0(0)/mV 16 0 -14 31881 0 aVL
E09444.mat 16x1+24 1000.0(0)/mV 16 0 14 14527 0 aVF
E09444.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13438 0 V1
E09444.mat 16x1+24 1000.0(0)/mV 16 0 -9 7509 0 V2
E09444.mat 16x1+24 1000.0(0)/mV 16 0 -204 28797 0 V3
E09444.mat 16x1+24 1000.0(0)/mV 16 0 -263 30253 0 V4
E09444.mat 16x1+24 1000.0(0)/mV 16 0 -97 -1363 0 V5
E09444.mat 16x1+24 1000.0(0)/mV 16 0 -97 -5330 0 V6
# Age: 69
# Sex: Female
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown