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All Journal JAIS (Journal of Applied Intelligent System) JOURNAL OF COMMUNITY ENGAGEMENT AND EMPOWERMENT
Nandang, Iim
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Journal : JAIS (Journal of Applied Intelligent System)

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Analysis of Inter-Subject and Session Variability using Brain Topographic Map Setiawan, Fachruddin Ari; Pradana, Dio Alif; Nandang, Iim
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 1 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i1.10051

Abstract

The study described investigates the application of Brain-Computer Interface (BCI) technology, focusing on Motor Imagery (MI) signals which enable individuals to control movements through mental visualization. A major challenge in this field is accurately distinguishing between different movements, particularly when dealing with data from multiple subjects and recording sessions, known as inter-subject and inter-session variability. To address this, the authors employ the Wavelet Packet Transform-Common Spatial Patterns (WPT-CSP) method to enhance the resolution of MI signals. They visualize the results using Brain Topographic Maps (Topomaps) to depict brain activity during MI tasks, facilitating the analysis of variability across subjects and sessions. Utilizing dataset 2a from the Brain-Computer Interface Competition (BCIC) IV, the study demonstrates the efficacy of this approach in identifying variability patterns. This research holds promise for improving BCI technology applications in various domains, and future work could explore refining signal processing techniques and validation on larger datasets. Topomap.
Co-Authors Komari, Ana Lolyka Dewi Indrasari Pradana, Dio Alif Safi’i, Imam Santosa, Heribertus Budi Setiawan, Fachruddin Ari Sri Rahayuningsih Tri Pariyanto, Afiff Yudha Widodo, Silvi Rushanti