Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(723 bytes)
E05719 12 500 5000
E05719.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19246 0 I
E05719.mat 16x1+24 1000.0(0)/mV 16 0 -39 28497 0 II
E05719.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18088 0 III
E05719.mat 16x1+24 1000.0(0)/mV 16 0 29 28008 0 aVR
E05719.mat 16x1+24 1000.0(0)/mV 16 0 0 -109 0 aVL
E05719.mat 16x1+24 1000.0(0)/mV 16 0 -29 -27391 0 aVF
E05719.mat 16x1+24 1000.0(0)/mV 16 0 19 -26408 0 V1
E05719.mat 16x1+24 1000.0(0)/mV 16 0 58 -18778 0 V2
E05719.mat 16x1+24 1000.0(0)/mV 16 0 19 -23477 0 V3
E05719.mat 16x1+24 1000.0(0)/mV 16 0 19 -26442 0 V4
E05719.mat 16x1+24 1000.0(0)/mV 16 0 19 -20332 0 V5
E05719.mat 16x1+24 1000.0(0)/mV 16 0 19 -19511 0 V6
# Age: 59
# Sex: Female
# Dx: 427084000,251146004
# Rx: Unknown
# Hx: Unknown