Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(727 bytes)
E09275 12 500 5000
E09275.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2268 0 I
E09275.mat 16x1+24 1000.0(0)/mV 16 0 19 23632 0 II
E09275.mat 16x1+24 1000.0(0)/mV 16 0 29 26639 0 III
E09275.mat 16x1+24 1000.0(0)/mV 16 0 -4 -10340 0 aVR
E09275.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14291 0 aVL
E09275.mat 16x1+24 1000.0(0)/mV 16 0 24 25083 0 aVF
E09275.mat 16x1+24 1000.0(0)/mV 16 0 107 1400 0 V1
E09275.mat 16x1+24 1000.0(0)/mV 16 0 0 542 0 V2
E09275.mat 16x1+24 1000.0(0)/mV 16 0 -380 30029 0 V3
E09275.mat 16x1+24 1000.0(0)/mV 16 0 -9 21408 0 V4
E09275.mat 16x1+24 1000.0(0)/mV 16 0 78 28201 0 V5
E09275.mat 16x1+24 1000.0(0)/mV 16 0 -214 -29555 0 V6
# Age: 73
# Sex: Female
# Dx: 445118002,164934002,111975006
# Rx: Unknown
# Hx: Unknown