Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(701 bytes)
E05545 12 500 5000
E05545.mat 16x1+24 1000.0(0)/mV 16 0 0 -19568 0 I
E05545.mat 16x1+24 1000.0(0)/mV 16 0 58 6003 0 II
E05545.mat 16x1+24 1000.0(0)/mV 16 0 58 26021 0 III
E05545.mat 16x1+24 1000.0(0)/mV 16 0 -29 6961 0 aVR
E05545.mat 16x1+24 1000.0(0)/mV 16 0 -29 9983 0 aVL
E05545.mat 16x1+24 1000.0(0)/mV 16 0 58 -16746 0 aVF
E05545.mat 16x1+24 1000.0(0)/mV 16 0 97 4672 0 V1
E05545.mat 16x1+24 1000.0(0)/mV 16 0 351 2266 0 V2
E05545.mat 16x1+24 1000.0(0)/mV 16 0 97 -29364 0 V3
E05545.mat 16x1+24 1000.0(0)/mV 16 0 29 29411 0 V4
E05545.mat 16x1+24 1000.0(0)/mV 16 0 -19 28578 0 V5
E05545.mat 16x1+24 1000.0(0)/mV 16 0 -9 25327 0 V6
# Age: 59
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown