Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(737 bytes)
E09105 12 500 5000
E09105.mat 16x1+24 1000.0(0)/mV 16 0 -78 16960 0 I
E09105.mat 16x1+24 1000.0(0)/mV 16 0 -97 -16175 0 II
E09105.mat 16x1+24 1000.0(0)/mV 16 0 -19 32290 0 III
E09105.mat 16x1+24 1000.0(0)/mV 16 0 87 31992 0 aVR
E09105.mat 16x1+24 1000.0(0)/mV 16 0 -29 25100 0 aVL
E09105.mat 16x1+24 1000.0(0)/mV 16 0 -58 7909 0 aVF
E09105.mat 16x1+24 1000.0(0)/mV 16 0 97 -30681 0 V1
E09105.mat 16x1+24 1000.0(0)/mV 16 0 -165 -21240 0 V2
E09105.mat 16x1+24 1000.0(0)/mV 16 0 -253 3078 0 V3
E09105.mat 16x1+24 1000.0(0)/mV 16 0 -156 -16544 0 V4
E09105.mat 16x1+24 1000.0(0)/mV 16 0 -107 6937 0 V5
E09105.mat 16x1+24 1000.0(0)/mV 16 0 -107 -20221 0 V6
# Age: 67
# Sex: Male
# Dx: 111975006,164930006,164934002
# Rx: Unknown
# Hx: Unknown