Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(719 bytes)
E07544 12 500 5000
E07544.mat 16x1+24 1000.0(0)/mV 16 0 -204 -7579 0 I
E07544.mat 16x1+24 1000.0(0)/mV 16 0 107 8132 0 II
E07544.mat 16x1+24 1000.0(0)/mV 16 0 312 16480 0 III
E07544.mat 16x1+24 1000.0(0)/mV 16 0 48 -375 0 aVR
E07544.mat 16x1+24 1000.0(0)/mV 16 0 -258 -11611 0 aVL
E07544.mat 16x1+24 1000.0(0)/mV 16 0 209 12141 0 aVF
E07544.mat 16x1+24 1000.0(0)/mV 16 0 -73 11241 0 V1
E07544.mat 16x1+24 1000.0(0)/mV 16 0 -190 -12110 0 V2
E07544.mat 16x1+24 1000.0(0)/mV 16 0 92 31114 0 V3
E07544.mat 16x1+24 1000.0(0)/mV 16 0 239 6291 0 V4
E07544.mat 16x1+24 1000.0(0)/mV 16 0 78 26171 0 V5
E07544.mat 16x1+24 1000.0(0)/mV 16 0 48 6939 0 V6
# Age: 86
# Sex: Male
# Dx: 284470004,164934002
# Rx: Unknown
# Hx: Unknown