Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(760 bytes)
E01415 12 500 5000
E01415.mat 16x1+24 1000.0(0)/mV 16 0 273 18483 0 I
E01415.mat 16x1+24 1000.0(0)/mV 16 0 253 -13006 0 II
E01415.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31341 0 III
E01415.mat 16x1+24 1000.0(0)/mV 16 0 -263 -2970 0 aVR
E01415.mat 16x1+24 1000.0(0)/mV 16 0 146 -7854 0 aVL
E01415.mat 16x1+24 1000.0(0)/mV 16 0 117 10475 0 aVF
E01415.mat 16x1+24 1000.0(0)/mV 16 0 -351 22075 0 V1
E01415.mat 16x1+24 1000.0(0)/mV 16 0 -165 29779 0 V2
E01415.mat 16x1+24 1000.0(0)/mV 16 0 126 25318 0 V3
E01415.mat 16x1+24 1000.0(0)/mV 16 0 507 -20836 0 V4
E01415.mat 16x1+24 1000.0(0)/mV 16 0 732 10142 0 V5
E01415.mat 16x1+24 1000.0(0)/mV 16 0 829 -2361 0 V6
# Age: 68
# Sex: Female
# Dx: 111975006,164930006,270492004,425623009,164934002
# Rx: Unknown
# Hx: Unknown