Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(732 bytes)
E00119 12 500 5000
E00119.mat 16x1+24 1000.0(0)/mV 16 0 0 -8732 0 I
E00119.mat 16x1+24 1000.0(0)/mV 16 0 87 -17040 0 II
E00119.mat 16x1+24 1000.0(0)/mV 16 0 87 -8685 0 III
E00119.mat 16x1+24 1000.0(0)/mV 16 0 -43 13013 0 aVR
E00119.mat 16x1+24 1000.0(0)/mV 16 0 -43 582 0 aVL
E00119.mat 16x1+24 1000.0(0)/mV 16 0 87 -12653 0 aVF
E00119.mat 16x1+24 1000.0(0)/mV 16 0 78 -177 0 V1
E00119.mat 16x1+24 1000.0(0)/mV 16 0 185 3241 0 V2
E00119.mat 16x1+24 1000.0(0)/mV 16 0 214 9714 0 V3
E00119.mat 16x1+24 1000.0(0)/mV 16 0 156 12945 0 V4
E00119.mat 16x1+24 1000.0(0)/mV 16 0 58 -20710 0 V5
E00119.mat 16x1+24 1000.0(0)/mV 16 0 29 -9846 0 V6
# Age: 55
# Sex: Male
# Dx: 427084000,425623009,164934002,426761007
# Rx: Unknown
# Hx: Unknown