Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(712 bytes)
E00980 12 500 5000
E00980.mat 16x1+24 1000.0(0)/mV 16 0 -58 32504 0 I
E00980.mat 16x1+24 1000.0(0)/mV 16 0 -29 12822 0 II
E00980.mat 16x1+24 1000.0(0)/mV 16 0 29 -19334 0 III
E00980.mat 16x1+24 1000.0(0)/mV 16 0 43 -22624 0 aVR
E00980.mat 16x1+24 1000.0(0)/mV 16 0 -43 -6337 0 aVL
E00980.mat 16x1+24 1000.0(0)/mV 16 0 0 29817 0 aVF
E00980.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31420 0 V1
E00980.mat 16x1+24 1000.0(0)/mV 16 0 -68 -25821 0 V2
E00980.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17910 0 V3
E00980.mat 16x1+24 1000.0(0)/mV 16 0 -68 -18531 0 V4
E00980.mat 16x1+24 1000.0(0)/mV 16 0 -68 -6304 0 V5
E00980.mat 16x1+24 1000.0(0)/mV 16 0 -9 27695 0 V6
# Age: 40
# Sex: Male
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown