Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(706 bytes)
E00440 12 500 5000
E00440.mat 16x1+24 1000.0(0)/mV 16 0 -43 11021 0 I
E00440.mat 16x1+24 1000.0(0)/mV 16 0 146 4936 0 II
E00440.mat 16x1+24 1000.0(0)/mV 16 0 190 -5938 0 III
E00440.mat 16x1+24 1000.0(0)/mV 16 0 -51 -8084 0 aVR
E00440.mat 16x1+24 1000.0(0)/mV 16 0 -117 8275 0 aVL
E00440.mat 16x1+24 1000.0(0)/mV 16 0 168 -374 0 aVF
E00440.mat 16x1+24 1000.0(0)/mV 16 0 97 8502 0 V1
E00440.mat 16x1+24 1000.0(0)/mV 16 0 29 -31897 0 V2
E00440.mat 16x1+24 1000.0(0)/mV 16 0 48 8114 0 V3
E00440.mat 16x1+24 1000.0(0)/mV 16 0 63 24679 0 V4
E00440.mat 16x1+24 1000.0(0)/mV 16 0 248 -15883 0 V5
E00440.mat 16x1+24 1000.0(0)/mV 16 0 -43 31269 0 V6
# Age: 49
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown