Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(735 bytes)
E09944 12 500 5000
E09944.mat 16x1+24 1000.0(0)/mV 16 0 -136 -17851 0 I
E09944.mat 16x1+24 1000.0(0)/mV 16 0 -107 -28594 0 II
E09944.mat 16x1+24 1000.0(0)/mV 16 0 29 -9268 0 III
E09944.mat 16x1+24 1000.0(0)/mV 16 0 122 23337 0 aVR
E09944.mat 16x1+24 1000.0(0)/mV 16 0 -82 -3704 0 aVL
E09944.mat 16x1+24 1000.0(0)/mV 16 0 -39 -19010 0 aVF
E09944.mat 16x1+24 1000.0(0)/mV 16 0 48 25893 0 V1
E09944.mat 16x1+24 1000.0(0)/mV 16 0 -19 -32296 0 V2
E09944.mat 16x1+24 1000.0(0)/mV 16 0 -58 25200 0 V3
E09944.mat 16x1+24 1000.0(0)/mV 16 0 -107 -6222 0 V4
E09944.mat 16x1+24 1000.0(0)/mV 16 0 0 29125 0 V5
E09944.mat 16x1+24 1000.0(0)/mV 16 0 68 -17979 0 V6
# Age: 74
# Sex: Male
# Dx: 426177001,284470004,284470004
# Rx: Unknown
# Hx: Unknown