Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E09194 12 500 5000
E09194.mat 16x1+24 1000.0(0)/mV 16 0 -58 23191 0 I
E09194.mat 16x1+24 1000.0(0)/mV 16 0 -29 4895 0 II
E09194.mat 16x1+24 1000.0(0)/mV 16 0 29 -16877 0 III
E09194.mat 16x1+24 1000.0(0)/mV 16 0 43 -13597 0 aVR
E09194.mat 16x1+24 1000.0(0)/mV 16 0 -43 -13179 0 aVL
E09194.mat 16x1+24 1000.0(0)/mV 16 0 0 26694 0 aVF
E09194.mat 16x1+24 1000.0(0)/mV 16 0 -19 5611 0 V1
E09194.mat 16x1+24 1000.0(0)/mV 16 0 9 -20828 0 V2
E09194.mat 16x1+24 1000.0(0)/mV 16 0 -9 20255 0 V3
E09194.mat 16x1+24 1000.0(0)/mV 16 0 -48 6362 0 V4
E09194.mat 16x1+24 1000.0(0)/mV 16 0 -29 -23838 0 V5
E09194.mat 16x1+24 1000.0(0)/mV 16 0 -68 22408 0 V6
# Age: 65
# Sex: Male
# Dx: 284470004,284470004
# Rx: Unknown
# Hx: Unknown