Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(745 bytes)
E05299 12 500 5000
E05299.mat 16x1+24 1000.0(0)/mV 16 0 -58 28727 0 I
E05299.mat 16x1+24 1000.0(0)/mV 16 0 175 -22577 0 II
E05299.mat 16x1+24 1000.0(0)/mV 16 0 234 14433 0 III
E05299.mat 16x1+24 1000.0(0)/mV 16 0 -58 29704 0 aVR
E05299.mat 16x1+24 1000.0(0)/mV 16 0 -146 7034 0 aVL
E05299.mat 16x1+24 1000.0(0)/mV 16 0 204 28672 0 aVF
E05299.mat 16x1+24 1000.0(0)/mV 16 0 292 9168 0 V1
E05299.mat 16x1+24 1000.0(0)/mV 16 0 634 9546 0 V2
E05299.mat 16x1+24 1000.0(0)/mV 16 0 839 -4473 0 V3
E05299.mat 16x1+24 1000.0(0)/mV 16 0 322 -6513 0 V4
E05299.mat 16x1+24 1000.0(0)/mV 16 0 58 -19084 0 V5
E05299.mat 16x1+24 1000.0(0)/mV 16 0 -78 30631 0 V6
# Age: 69
# Sex: Male
# Dx: 164909002,67741000119109,270492004,39732003
# Rx: Unknown
# Hx: Unknown