Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(752 bytes)
E00498 12 500 5000
E00498.mat 16x1+24 1000.0(0)/mV 16 0 751 6427 0 I
E00498.mat 16x1+24 1000.0(0)/mV 16 0 -575 12820 0 II
E00498.mat 16x1+24 1000.0(0)/mV 16 0 -1327 6247 0 III
E00498.mat 16x1+24 1000.0(0)/mV 16 0 -87 22643 0 aVR
E00498.mat 16x1+24 1000.0(0)/mV 16 0 1039 -32617 0 aVL
E00498.mat 16x1+24 1000.0(0)/mV 16 0 -951 9185 0 aVF
E00498.mat 16x1+24 1000.0(0)/mV 16 0 -849 10099 0 V1
E00498.mat 16x1+24 1000.0(0)/mV 16 0 -1366 9477 0 V2
E00498.mat 16x1+24 1000.0(0)/mV 16 0 -1668 13771 0 V3
E00498.mat 16x1+24 1000.0(0)/mV 16 0 -1141 -3453 0 V4
E00498.mat 16x1+24 1000.0(0)/mV 16 0 -458 -6845 0 V5
E00498.mat 16x1+24 1000.0(0)/mV 16 0 126 -22288 0 V6
# Age: 80
# Sex: Male
# Dx: 164873001,428750005,270492004,59931005
# Rx: Unknown
# Hx: Unknown