Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(714 bytes)
E08799 12 500 5000
E08799.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15023 0 I
E08799.mat 16x1+24 1000.0(0)/mV 16 0 -9 8070 0 II
E08799.mat 16x1+24 1000.0(0)/mV 16 0 39 22841 0 III
E08799.mat 16x1+24 1000.0(0)/mV 16 0 29 3129 0 aVR
E08799.mat 16x1+24 1000.0(0)/mV 16 0 -43 -18545 0 aVL
E08799.mat 16x1+24 1000.0(0)/mV 16 0 14 15753 0 aVF
E08799.mat 16x1+24 1000.0(0)/mV 16 0 39 -14296 0 V1
E08799.mat 16x1+24 1000.0(0)/mV 16 0 0 -27001 0 V2
E08799.mat 16x1+24 1000.0(0)/mV 16 0 -9 26519 0 V3
E08799.mat 16x1+24 1000.0(0)/mV 16 0 -48 9501 0 V4
E08799.mat 16x1+24 1000.0(0)/mV 16 0 -58 5905 0 V5
E08799.mat 16x1+24 1000.0(0)/mV 16 0 -68 23594 0 V6
# Age: 35
# Sex: Male
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown