Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(724 bytes)
E08363 12 500 5000
E08363.mat 16x1+24 1000.0(0)/mV 16 0 19 17275 0 I
E08363.mat 16x1+24 1000.0(0)/mV 16 0 -58 3376 0 II
E08363.mat 16x1+24 1000.0(0)/mV 16 0 -78 -13815 0 III
E08363.mat 16x1+24 1000.0(0)/mV 16 0 19 -10258 0 aVR
E08363.mat 16x1+24 1000.0(0)/mV 16 0 48 -17342 0 aVL
E08363.mat 16x1+24 1000.0(0)/mV 16 0 -68 27703 0 aVF
E08363.mat 16x1+24 1000.0(0)/mV 16 0 29 29956 0 V1
E08363.mat 16x1+24 1000.0(0)/mV 16 0 68 13575 0 V2
E08363.mat 16x1+24 1000.0(0)/mV 16 0 -146 -8798 0 V3
E08363.mat 16x1+24 1000.0(0)/mV 16 0 -97 -13818 0 V4
E08363.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10791 0 V5
E08363.mat 16x1+24 1000.0(0)/mV 16 0 -39 17222 0 V6
# Age: 70
# Sex: Female
# Dx: 426434006,164934002
# Rx: Unknown
# Hx: Unknown