LJaya optimisation‐based channel selection approach for performance improvement of cognitive workload assessment technique

Abstract

In this Letter, the Logical Jaya optimisation is proposed as an extension of the Jaya optimisation algorithm to improve the cognitive workload (CW) assessment technique where channel selection for the EEG signal act as a binary optimisation problem. Channel selection is very crucial, time-consuming and requires expertise, specially when brain cognitive load is considered. The proposed approach is designed such that it not only improves the performance of the assessment model of CW but also reduces the computational cost. The approach also helps in the automation of brain analysis. The results obtained show that performance is improved by 22% than existing approaches to an average of >90% accuracy in different scenarios. The channels obtained using the approach also provided accurate active brain regions during CW analogous to previous studies.

Classification of working memory loads using hybrid EEG and fNIRS in machine learning paradigm

“…A recent study conducting prediction of human cognition ability reports an R 2 value of 0.72 [5 ]. Another recent study used L Jaya optimisation to reduce the number of EEG channels for improved cognitive workload assessment [6 ]. ACC >90% was reported in this study.…”

“…The R 2 value of 0.72 was reported in this study. Another recent study reported improved cognitive workload assessment technique using L Jaya optimisation‐based channel selection in EEG [6 ]. These studies [1–5 ] utilised EEG‐based brain–computer interface (BCI) systems to assess or classify workload in participants.…”

Classification of brain tumor of magnetic resonance medical images using convolutional neural network approach

“…Recent expansion in artificial intelligence and information technology techniques is getting popularity in various real life applications. These applications consists medical fields such as brain computing and optimization [1]- [3], development of autonomous vehicles [4]- [7] and progress of smart cities [8]. All these area have uniform weightage but securing life through medical diagnosis is always on the top.…”