Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(754 bytes)
E06576 12 500 5000
E06576.mat 16x1+24 1000.0(0)/mV 16 0 -224 -10524 0 I
E06576.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15605 0 II
E06576.mat 16x1+24 1000.0(0)/mV 16 0 175 -4934 0 III
E06576.mat 16x1+24 1000.0(0)/mV 16 0 136 -19862 0 aVR
E06576.mat 16x1+24 1000.0(0)/mV 16 0 -200 -2584 0 aVL
E06576.mat 16x1+24 1000.0(0)/mV 16 0 63 22378 0 aVF
E06576.mat 16x1+24 1000.0(0)/mV 16 0 331 -31363 0 V1
E06576.mat 16x1+24 1000.0(0)/mV 16 0 380 -20975 0 V2
E06576.mat 16x1+24 1000.0(0)/mV 16 0 0 -95 0 V3
E06576.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13297 0 V4
E06576.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14167 0 V5
E06576.mat 16x1+24 1000.0(0)/mV 16 0 -9 4138 0 V6
# Age: 55
# Sex: Female
# Dx: 17338001,17338001,427084000,425623009,164934002
# Rx: Unknown
# Hx: Unknown