Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(712 bytes)
E00474 12 500 5000
E00474.mat 16x1+24 1000.0(0)/mV 16 0 14 138 0 I
E00474.mat 16x1+24 1000.0(0)/mV 16 0 297 -16203 0 II
E00474.mat 16x1+24 1000.0(0)/mV 16 0 283 -16489 0 III
E00474.mat 16x1+24 1000.0(0)/mV 16 0 -156 -25069 0 aVR
E00474.mat 16x1+24 1000.0(0)/mV 16 0 -134 8001 0 aVL
E00474.mat 16x1+24 1000.0(0)/mV 16 0 290 16383 0 aVF
E00474.mat 16x1+24 1000.0(0)/mV 16 0 29 -13794 0 V1
E00474.mat 16x1+24 1000.0(0)/mV 16 0 -68 1560 0 V2
E00474.mat 16x1+24 1000.0(0)/mV 16 0 -117 10326 0 V3
E00474.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24446 0 V4
E00474.mat 16x1+24 1000.0(0)/mV 16 0 -102 22130 0 V5
E00474.mat 16x1+24 1000.0(0)/mV 16 0 122 9640 0 V6
# Age: 58
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown