Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(721 bytes)
E09045 12 500 5000
E09045.mat 16x1+24 1000.0(0)/mV 16 0 -185 20055 0 I
E09045.mat 16x1+24 1000.0(0)/mV 16 0 -107 -23074 0 II
E09045.mat 16x1+24 1000.0(0)/mV 16 0 78 22638 0 III
E09045.mat 16x1+24 1000.0(0)/mV 16 0 146 -31495 0 aVR
E09045.mat 16x1+24 1000.0(0)/mV 16 0 -131 31724 0 aVL
E09045.mat 16x1+24 1000.0(0)/mV 16 0 -14 -557 0 aVF
E09045.mat 16x1+24 1000.0(0)/mV 16 0 48 8104 0 V1
E09045.mat 16x1+24 1000.0(0)/mV 16 0 -39 13339 0 V2
E09045.mat 16x1+24 1000.0(0)/mV 16 0 -234 -16864 0 V3
E09045.mat 16x1+24 1000.0(0)/mV 16 0 -253 -17764 0 V4
E09045.mat 16x1+24 1000.0(0)/mV 16 0 -185 -20418 0 V5
E09045.mat 16x1+24 1000.0(0)/mV 16 0 -165 -23576 0 V6
# Age: 39
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown