Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(713 bytes)
E00048 12 500 5000
E00048.mat 16x1+24 1000.0(0)/mV 16 0 -97 7543 0 I
E00048.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1982 0 II
E00048.mat 16x1+24 1000.0(0)/mV 16 0 68 -9219 0 III
E00048.mat 16x1+24 1000.0(0)/mV 16 0 63 -2960 0 aVR
E00048.mat 16x1+24 1000.0(0)/mV 16 0 -82 -23906 0 aVL
E00048.mat 16x1+24 1000.0(0)/mV 16 0 19 27170 0 aVF
E00048.mat 16x1+24 1000.0(0)/mV 16 0 48 3004 0 V1
E00048.mat 16x1+24 1000.0(0)/mV 16 0 -68 4916 0 V2
E00048.mat 16x1+24 1000.0(0)/mV 16 0 -107 -6153 0 V3
E00048.mat 16x1+24 1000.0(0)/mV 16 0 29 -9 0 V4
E00048.mat 16x1+24 1000.0(0)/mV 16 0 175 28349 0 V5
E00048.mat 16x1+24 1000.0(0)/mV 16 0 19 -23303 0 V6
# Age: 71
# Sex: Male
# Dx: 270492004,426177001
# Rx: Unknown
# Hx: Unknown