Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(712 bytes)
E07459 12 500 5000
E07459.mat 16x1+24 1000.0(0)/mV 16 0 -4 29189 0 I
E07459.mat 16x1+24 1000.0(0)/mV 16 0 9 3510 0 II
E07459.mat 16x1+24 1000.0(0)/mV 16 0 14 -25597 0 III
E07459.mat 16x1+24 1000.0(0)/mV 16 0 -2 -16446 0 aVR
E07459.mat 16x1+24 1000.0(0)/mV 16 0 -9 27343 0 aVL
E07459.mat 16x1+24 1000.0(0)/mV 16 0 12 -11088 0 aVF
E07459.mat 16x1+24 1000.0(0)/mV 16 0 34 990 0 V1
E07459.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4983 0 V2
E07459.mat 16x1+24 1000.0(0)/mV 16 0 14 25713 0 V3
E07459.mat 16x1+24 1000.0(0)/mV 16 0 19 28614 0 V4
E07459.mat 16x1+24 1000.0(0)/mV 16 0 29 -24030 0 V5
E07459.mat 16x1+24 1000.0(0)/mV 16 0 -14 -4881 0 V6
# Age: 50
# Sex: Male
# Dx: 164873001,428750005
# Rx: Unknown
# Hx: Unknown