Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(719 bytes)
E07234 12 500 5000
E07234.mat 16x1+24 1000.0(0)/mV 16 0 48 -17402 0 I
E07234.mat 16x1+24 1000.0(0)/mV 16 0 97 31715 0 II
E07234.mat 16x1+24 1000.0(0)/mV 16 0 48 -15838 0 III
E07234.mat 16x1+24 1000.0(0)/mV 16 0 -73 25526 0 aVR
E07234.mat 16x1+24 1000.0(0)/mV 16 0 0 -1132 0 aVL
E07234.mat 16x1+24 1000.0(0)/mV 16 0 73 -24811 0 aVF
E07234.mat 16x1+24 1000.0(0)/mV 16 0 78 -4455 0 V1
E07234.mat 16x1+24 1000.0(0)/mV 16 0 185 -28962 0 V2
E07234.mat 16x1+24 1000.0(0)/mV 16 0 156 31941 0 V3
E07234.mat 16x1+24 1000.0(0)/mV 16 0 283 22786 0 V4
E07234.mat 16x1+24 1000.0(0)/mV 16 0 195 28738 0 V5
E07234.mat 16x1+24 1000.0(0)/mV 16 0 185 28688 0 V6
# Age: 16
# Sex: Male
# Dx: 428750005,111975006
# Rx: Unknown
# Hx: Unknown