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Neural source localization using particle filter with optimal proportional set resampling
Veeramalla, Santhosh Kumar,Talari, V.K. Hanumantha Rao Electronics and Telecommunications Research Instit 2020 ETRI Journal Vol.42 No.6
To recover the neural activity from Magnetoencephalography (MEG) and Electroencephalography (EEG) measurements, we need to solve the inverse problem by utilizing the relation between dipole sources and the data generated by dipolar sources. In this study, we propose a new approach based on the implementation of a particle filter (PF) that uses minimum sampling variance resampling methodology to track the neural dipole sources of cerebral activity. We use this approach for the EEG data and demonstrate that it can naturally estimate the sources more precisely than the traditional systematic resampling scheme in PFs.
Santhosh Kumar Veeramalla,V. K. Hanumantha Rao Talari 대한의용생체공학회 2020 Biomedical Engineering Letters (BMEL) Vol.10 No.2
Tracking and detection of neural activity has numerous applications in the medical research fi eld. By considering neuralsources, it can be monitored by electroencephalography (EEG). In this paper, we focus primarily on developing advancedsignal processing methods for locating neural sources. Due to its high performance in state estimation and tracking, particlefi lter was used to locate neural sources. However, particle degeneracy limits the performance of particle fi lters in the mostutmost situations. A few resampling methods were subsequently proposed to ease this issue. These resampling methods,however, take on heavy computational costs. In this article, we aim to investigate the Partial Stratifi ed Resampling algorithmwhich is time-effi cient that can be used to locate neural sources and compare them to conventional resampling algorithms. This work is aimed at refl ecting on the capabilities of various resampling algorithms and estimating the performance oflocating neural sources. Simulated data and real EEG data are used to conduct evaluation and comparison experiments.