Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(718 bytes)
E00359 12 500 5000
E00359.mat 16x1+24 1000.0(0)/mV 16 0 -117 -27256 0 I
E00359.mat 16x1+24 1000.0(0)/mV 16 0 -97 6421 0 II
E00359.mat 16x1+24 1000.0(0)/mV 16 0 19 -31004 0 III
E00359.mat 16x1+24 1000.0(0)/mV 16 0 107 10396 0 aVR
E00359.mat 16x1+24 1000.0(0)/mV 16 0 -68 2481 0 aVL
E00359.mat 16x1+24 1000.0(0)/mV 16 0 -39 -12316 0 aVF
E00359.mat 16x1+24 1000.0(0)/mV 16 0 24 -15113 0 V1
E00359.mat 16x1+24 1000.0(0)/mV 16 0 -175 -19903 0 V2
E00359.mat 16x1+24 1000.0(0)/mV 16 0 -239 -18121 0 V3
E00359.mat 16x1+24 1000.0(0)/mV 16 0 -102 -26748 0 V4
E00359.mat 16x1+24 1000.0(0)/mV 16 0 -87 5285 0 V5
E00359.mat 16x1+24 1000.0(0)/mV 16 0 -97 -7320 0 V6
# Age: 75
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown