Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(709 bytes)
E00859 12 500 5000
E00859.mat 16x1+24 1000.0(0)/mV 16 0 -48 -25561 0 I
E00859.mat 16x1+24 1000.0(0)/mV 16 0 -39 4020 0 II
E00859.mat 16x1+24 1000.0(0)/mV 16 0 9 29937 0 III
E00859.mat 16x1+24 1000.0(0)/mV 16 0 43 10423 0 aVR
E00859.mat 16x1+24 1000.0(0)/mV 16 0 -29 -26120 0 aVL
E00859.mat 16x1+24 1000.0(0)/mV 16 0 -14 16911 0 aVF
E00859.mat 16x1+24 1000.0(0)/mV 16 0 29 25588 0 V1
E00859.mat 16x1+24 1000.0(0)/mV 16 0 -68 -6706 0 V2
E00859.mat 16x1+24 1000.0(0)/mV 16 0 -48 18710 0 V3
E00859.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4855 0 V4
E00859.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19926 0 V5
E00859.mat 16x1+24 1000.0(0)/mV 16 0 -9 13933 0 V6
# Age: 83
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown