Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(722 bytes)
E00461 12 500 5000
E00461.mat 16x1+24 1000.0(0)/mV 16 0 -43 19527 0 I
E00461.mat 16x1+24 1000.0(0)/mV 16 0 -58 -22978 0 II
E00461.mat 16x1+24 1000.0(0)/mV 16 0 -14 22857 0 III
E00461.mat 16x1+24 1000.0(0)/mV 16 0 51 -31043 0 aVR
E00461.mat 16x1+24 1000.0(0)/mV 16 0 -14 31352 0 aVL
E00461.mat 16x1+24 1000.0(0)/mV 16 0 -36 10 0 aVF
E00461.mat 16x1+24 1000.0(0)/mV 16 0 19 -1399 0 V1
E00461.mat 16x1+24 1000.0(0)/mV 16 0 9 -12567 0 V2
E00461.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27508 0 V3
E00461.mat 16x1+24 1000.0(0)/mV 16 0 -9 -29444 0 V4
E00461.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16974 0 V5
E00461.mat 16x1+24 1000.0(0)/mV 16 0 -39 -15676 0 V6
# Age: 72
# Sex: Female
# Dx: 284470004,284470004
# Rx: Unknown
# Hx: Unknown