Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(767 bytes)
E07591 12 500 5000
E07591.mat 16x1+24 1000.0(0)/mV 16 0 0 -22073 0 I
E07591.mat 16x1+24 1000.0(0)/mV 16 0 9 7129 0 II
E07591.mat 16x1+24 1000.0(0)/mV 16 0 9 29823 0 III
E07591.mat 16x1+24 1000.0(0)/mV 16 0 -4 -25479 0 aVR
E07591.mat 16x1+24 1000.0(0)/mV 16 0 -4 6834 0 aVL
E07591.mat 16x1+24 1000.0(0)/mV 16 0 9 18352 0 aVF
E07591.mat 16x1+24 1000.0(0)/mV 16 0 9 8711 0 V1
E07591.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2205 0 V2
E07591.mat 16x1+24 1000.0(0)/mV 16 0 136 -26025 0 V3
E07591.mat 16x1+24 1000.0(0)/mV 16 0 146 -6627 0 V4
E07591.mat 16x1+24 1000.0(0)/mV 16 0 -19 1470 0 V5
E07591.mat 16x1+24 1000.0(0)/mV 16 0 39 -17669 0 V6
# Age: 66
# Sex: Female
# Dx: 17338001,17338001,195042002,39732003,426177001,425623009,164934002,111975006
# Rx: Unknown
# Hx: Unknown