ItemArticle

Simulating online and offline tasks using hybrid cheetah optimization algorithm for patients affected by neurodegenerative diseases

Title
Simulating online and offline tasks using hybrid cheetah optimization algorithm for patients affected by neurodegenerative diseases
Creator
Sivasakthivel, Ramkumar; Rajagopal, Manikandan; Anitha, G.; Loganathan, K.; Abbas, Mohamed; Ksibi, Amel; Rao, Koppula Srinivas
Description
Brain-Computer Interface (BCI) is a versatile technique to offer better communication system for people affected by the locked-in syndrome (LIS).In the current decade, there has been a growing demand for improved care and services for individuals with neurodegenerative diseases. To address this barrier, the current work is designed with four states of BCI for paralyzed persons using Welch Power Spectral Density (W-PSD). The features extracted from the signals were trained with a hybrid Feed Forward Neural Network Cheetah Optimization Algorithm (FFNNCOA) in both offline and online modes. Totally, eighteen subjects were involved in this study. The study proved that the offline analysis phase outperformed than the online phase in the real-time. The experiment was achieved the accuracies of 95.56% and 93.88% for men and female respectively. Furthermore, the study confirms that the subjects performance in the offline can manage the task more easily than in online mode. The Author(s) 2025.
Source
Scientific Reports;Volume;15;Issue;1;Article No.;8951;
Date
01-01-2025
Publisher
Nature Research
Subject
Brain-Computer interface; Cheetah optimization algorithm; Common Spatial pattern; Lower motor neuron; Radial basis function; Upper motor neuron; Welch power spectral density
Coverage
Sivasakthivel R., Department of Computer Science, School of Sciences, Christ University, Karnataka, Bengaluru, India; Rajagopal M., Department of Lean Operations and Systems, School of Business and Management, Christ University, Karnataka, Bengaluru, India; Anitha G., Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Tamil Nadu, Chennai, India; Loganathan K., Department of Mathematics and Statistics, Manipal University Jaipur, Rajasthan, Jaipur, 303007, India; Abbas M., Central Labs, King Khalid University, P.O. Box 960, Abha, AlQuraa, Saudi Arabia, Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia; Ksibi A., Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia; Rao K.S., Department of Computer Science and Engineering, MLR Institute of Technology, Telangana, Hyderabad, India
Rights
All Open Access; Gold Open Access; Green Open Access
Relation
ISSN: 20452322;
Format
online
Language
English
Type
Article

Citation

Sivasakthivel, Ramkumar; Rajagopal, Manikandan; Anitha, G.; Loganathan, K.; Abbas, Mohamed; Ksibi, Amel; Rao, Koppula Srinivas, “Simulating online and offline tasks using hybrid cheetah optimization algorithm for patients affected by neurodegenerative diseases,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/22538.

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