Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(715 bytes)
E06434 12 500 5000
E06434.mat 16x1+24 1000.0(0)/mV 16 0 -112 -14725 0 I
E06434.mat 16x1+24 1000.0(0)/mV 16 0 -53 21376 0 II
E06434.mat 16x1+24 1000.0(0)/mV 16 0 58 -30676 0 III
E06434.mat 16x1+24 1000.0(0)/mV 16 0 82 29328 0 aVR
E06434.mat 16x1+24 1000.0(0)/mV 16 0 -85 8036 0 aVL
E06434.mat 16x1+24 1000.0(0)/mV 16 0 2 28463 0 aVF
E06434.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28116 0 V1
E06434.mat 16x1+24 1000.0(0)/mV 16 0 -19 31423 0 V2
E06434.mat 16x1+24 1000.0(0)/mV 16 0 -63 32319 0 V3
E06434.mat 16x1+24 1000.0(0)/mV 16 0 -204 -16452 0 V4
E06434.mat 16x1+24 1000.0(0)/mV 16 0 -92 -10912 0 V5
E06434.mat 16x1+24 1000.0(0)/mV 16 0 -87 -11844 0 V6
# Age: 49
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown