Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(751 bytes)
E03207 12 500 5000
E03207.mat 16x1+24 1000.0(0)/mV 16 0 -102 313 0 I
E03207.mat 16x1+24 1000.0(0)/mV 16 0 -58 -11267 0 II
E03207.mat 16x1+24 1000.0(0)/mV 16 0 43 -12377 0 III
E03207.mat 16x1+24 1000.0(0)/mV 16 0 80 5483 0 aVR
E03207.mat 16x1+24 1000.0(0)/mV 16 0 -73 6597 0 aVL
E03207.mat 16x1+24 1000.0(0)/mV 16 0 -7 -11532 0 aVF
E03207.mat 16x1+24 1000.0(0)/mV 16 0 -97 -18353 0 V1
E03207.mat 16x1+24 1000.0(0)/mV 16 0 -141 -7765 0 V2
E03207.mat 16x1+24 1000.0(0)/mV 16 0 -87 -6195 0 V3
E03207.mat 16x1+24 1000.0(0)/mV 16 0 -78 -6323 0 V4
E03207.mat 16x1+24 1000.0(0)/mV 16 0 -24 -27874 0 V5
E03207.mat 16x1+24 1000.0(0)/mV 16 0 58 -4553 0 V6
# Age: 63
# Sex: Male
# Dx: 111975006,164930006,195042002,427084000,164934002
# Rx: Unknown
# Hx: Unknown