Fusion of estimations from two modalities using the Viterbi's algorithm: application to fetal heart rate monitoring
Rémi Souriau, Julie Fontecave-Jallon, Bertrand Rivet · ESANN 2021 proceedings · 2021
The Viterbi's algorithm allows to estimate latent time series according to observations in a hidden Markov model.This algorithm can be used to merge estimations from different modalities as proposed in this paper.Such a multi-modal estimation is more efficient than monomodal estimations when the modalities are subject to independent noises.In this paper, this improvement is evaluated in function of noise level of modalities.Experiences on toy data and actual signals to estimate the fetal heart rate show that merging modalities will provide better estimations on average than using the modalities separately.