Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(732 bytes)
E07763 12 500 5000
E07763.mat 16x1+24 1000.0(0)/mV 16 0 48 20099 0 I
E07763.mat 16x1+24 1000.0(0)/mV 16 0 -873 -17632 0 II
E07763.mat 16x1+24 1000.0(0)/mV 16 0 -922 27852 0 III
E07763.mat 16x1+24 1000.0(0)/mV 16 0 412 -1031 0 aVR
E07763.mat 16x1+24 1000.0(0)/mV 16 0 485 29211 0 aVL
E07763.mat 16x1+24 1000.0(0)/mV 16 0 -897 -27653 0 aVF
E07763.mat 16x1+24 1000.0(0)/mV 16 0 312 -21022 0 V1
E07763.mat 16x1+24 1000.0(0)/mV 16 0 292 26437 0 V2
E07763.mat 16x1+24 1000.0(0)/mV 16 0 302 -13457 0 V3
E07763.mat 16x1+24 1000.0(0)/mV 16 0 297 -13388 0 V4
E07763.mat 16x1+24 1000.0(0)/mV 16 0 239 -25730 0 V5
E07763.mat 16x1+24 1000.0(0)/mV 16 0 239 28349 0 V6
# Age: 46
# Sex: Female
# Dx: 164873001,426177001
# Rx: Unknown
# Hx: Unknown