Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(721 bytes)
E05367 12 500 5000
E05367.mat 16x1+24 1000.0(0)/mV 16 0 566 -27176 0 I
E05367.mat 16x1+24 1000.0(0)/mV 16 0 48 -32597 0 II
E05367.mat 16x1+24 1000.0(0)/mV 16 0 -517 -6269 0 III
E05367.mat 16x1+24 1000.0(0)/mV 16 0 -307 29642 0 aVR
E05367.mat 16x1+24 1000.0(0)/mV 16 0 541 -10355 0 aVL
E05367.mat 16x1+24 1000.0(0)/mV 16 0 -234 -19717 0 aVF
E05367.mat 16x1+24 1000.0(0)/mV 16 0 -165 31766 0 V1
E05367.mat 16x1+24 1000.0(0)/mV 16 0 156 -15536 0 V2
E05367.mat 16x1+24 1000.0(0)/mV 16 0 302 7032 0 V3
E05367.mat 16x1+24 1000.0(0)/mV 16 0 858 -26733 0 V4
E05367.mat 16x1+24 1000.0(0)/mV 16 0 1385 5819 0 V5
E05367.mat 16x1+24 1000.0(0)/mV 16 0 624 -14804 0 V6
# Age: 70
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown