Abstract
As it was mentioned in the previous part of this work (Part I)—the advanced signal processing methods are one of the quickest and the most dynamically developing scientific areas of biomedical engineering with their increasing usage in current clinical practice. In this paper, which is a Part II work—various innovative methods for the analysis of brain bioelectrical signals were presented and compared. It also describes both classical and advanced approaches for noise contamination removal such as among the others digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation, and wavelet transform.
Funder
Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference303 articles.
1. The Computer and the Brain;Von Neumann,2012
2. Visual and auditory brain–computer interfaces;Gao;IEEE Trans. Biomed. Eng.,2014
3. A Survey on Deep Learning its Architecture and Various Applications
4. Brain Architecture: Understanding the Basic Plan;Swanson,2012
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献