Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(710 bytes)
E09965 12 500 2500
E09965.mat 16x1+24 1000.0(0)/mV 16 0 -19 -10857 0 I
E09965.mat 16x1+24 1000.0(0)/mV 16 0 -97 9859 0 II
E09965.mat 16x1+24 1000.0(0)/mV 16 0 -78 21334 0 III
E09965.mat 16x1+24 1000.0(0)/mV 16 0 58 519 0 aVR
E09965.mat 16x1+24 1000.0(0)/mV 16 0 29 -16468 0 aVL
E09965.mat 16x1+24 1000.0(0)/mV 16 0 -87 15553 0 aVF
E09965.mat 16x1+24 1000.0(0)/mV 16 0 48 -5683 0 V1
E09965.mat 16x1+24 1000.0(0)/mV 16 0 -9 -16350 0 V2
E09965.mat 16x1+24 1000.0(0)/mV 16 0 -39 -20635 0 V3
E09965.mat 16x1+24 1000.0(0)/mV 16 0 -39 -21012 0 V4
E09965.mat 16x1+24 1000.0(0)/mV 16 0 -9 -13359 0 V5
E09965.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19022 0 V6
# Age: 64
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown