Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals

Author:

Martinek RadekORCID,Ladrova MartinaORCID,Sidikova MichaelaORCID,Jaros ReneORCID,Behbehani KhosrowORCID,Kahankova RadanaORCID,Kawala-Sterniuk AleksandraORCID

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

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference303 articles.

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