Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(746 bytes)
E05811 12 500 5000
E05811.mat 16x1+24 1000.0(0)/mV 16 0 -43 -25264 0 I
E05811.mat 16x1+24 1000.0(0)/mV 16 0 -39 25307 0 II
E05811.mat 16x1+24 1000.0(0)/mV 16 0 4 -15347 0 III
E05811.mat 16x1+24 1000.0(0)/mV 16 0 41 -32743 0 aVR
E05811.mat 16x1+24 1000.0(0)/mV 16 0 -24 -4690 0 aVL
E05811.mat 16x1+24 1000.0(0)/mV 16 0 -17 -27561 0 aVF
E05811.mat 16x1+24 1000.0(0)/mV 16 0 -34 -2001 0 V1
E05811.mat 16x1+24 1000.0(0)/mV 16 0 87 -11090 0 V2
E05811.mat 16x1+24 1000.0(0)/mV 16 0 39 23989 0 V3
E05811.mat 16x1+24 1000.0(0)/mV 16 0 -39 8269 0 V4
E05811.mat 16x1+24 1000.0(0)/mV 16 0 -53 29979 0 V5
E05811.mat 16x1+24 1000.0(0)/mV 16 0 -82 -7597 0 V6
# Age: 59
# Sex: Male
# Dx: 713426002,428750005,67741000119109,427084000
# Rx: Unknown
# Hx: Unknown