Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(709 bytes)
E03660 12 500 5000
E03660.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30917 0 I
E03660.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11754 0 II
E03660.mat 16x1+24 1000.0(0)/mV 16 0 0 19878 0 III
E03660.mat 16x1+24 1000.0(0)/mV 16 0 29 20993 0 aVR
E03660.mat 16x1+24 1000.0(0)/mV 16 0 -14 -25262 0 aVL
E03660.mat 16x1+24 1000.0(0)/mV 16 0 -14 3898 0 aVF
E03660.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9915 0 V1
E03660.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20054 0 V2
E03660.mat 16x1+24 1000.0(0)/mV 16 0 0 -21052 0 V3
E03660.mat 16x1+24 1000.0(0)/mV 16 0 0 -30138 0 V4
E03660.mat 16x1+24 1000.0(0)/mV 16 0 -29 30272 0 V5
E03660.mat 16x1+24 1000.0(0)/mV 16 0 -29 28284 0 V6
# Age: 48
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown