Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(723 bytes)
E00105 12 500 5000
E00105.mat 16x1+24 1000.0(0)/mV 16 0 58 -16644 0 I
E00105.mat 16x1+24 1000.0(0)/mV 16 0 58 20323 0 II
E00105.mat 16x1+24 1000.0(0)/mV 16 0 0 -28625 0 III
E00105.mat 16x1+24 1000.0(0)/mV 16 0 -58 31070 0 aVR
E00105.mat 16x1+24 1000.0(0)/mV 16 0 29 6076 0 aVL
E00105.mat 16x1+24 1000.0(0)/mV 16 0 29 28708 0 aVF
E00105.mat 16x1+24 1000.0(0)/mV 16 0 87 23062 0 V1
E00105.mat 16x1+24 1000.0(0)/mV 16 0 -87 -13977 0 V2
E00105.mat 16x1+24 1000.0(0)/mV 16 0 29 -5414 0 V3
E00105.mat 16x1+24 1000.0(0)/mV 16 0 -9 21197 0 V4
E00105.mat 16x1+24 1000.0(0)/mV 16 0 9 -16340 0 V5
E00105.mat 16x1+24 1000.0(0)/mV 16 0 19 17276 0 V6
# Age: 81
# Sex: Male
# Dx: 428750005,270492004,426177001
# Rx: Unknown
# Hx: Unknown