Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(761 bytes)
E03180 12 500 5000
E03180.mat 16x1+24 1000.0(0)/mV 16 0 -107 8425 0 I
E03180.mat 16x1+24 1000.0(0)/mV 16 0 -146 -2945 0 II
E03180.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11499 0 III
E03180.mat 16x1+24 1000.0(0)/mV 16 0 126 -2801 0 aVR
E03180.mat 16x1+24 1000.0(0)/mV 16 0 -34 9830 0 aVL
E03180.mat 16x1+24 1000.0(0)/mV 16 0 -92 -7121 0 aVF
E03180.mat 16x1+24 1000.0(0)/mV 16 0 68 -28693 0 V1
E03180.mat 16x1+24 1000.0(0)/mV 16 0 48 28787 0 V2
E03180.mat 16x1+24 1000.0(0)/mV 16 0 19 5194 0 V3
E03180.mat 16x1+24 1000.0(0)/mV 16 0 -9 -25772 0 V4
E03180.mat 16x1+24 1000.0(0)/mV 16 0 -9 -16576 0 V5
E03180.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18466 0 V6
# Age: 50
# Sex: Male
# Dx: 111975006,164930006,270492004,425419005,251146004,164934002
# Rx: Unknown
# Hx: Unknown