February 2022
Intermediate to advanced
392 pages
13h 2m
English
Content preview from Artificial Intelligence-Based Brain-Computer Interface
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4: Evaluation of power spectral and machine learning techniques for the development of subject-specific BCI
Muhammad Tariq Sadiqa; Siuly Siulyb; Ateeq Ur Rehmanc a Department of Electrical Engineering, The University of Lahore, Lahore, Pakistanb Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne, VIC, Australiac Department of Electrical Engineering, Government College University, Lahore, Pakistan
Abstract
Evaluation and interpretation of massive amounts of brain data are a big challenge for the design of functional brain-computer interface (BCI) devices. In this chapter, three power spectral methods: Welch, Burg, and multiple signal classification (MUSIC) are investigated to improve the pattern ...
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