scholarly journals Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5186
Author(s):  
Radek Martinek ◽  
Martina Ladrova ◽  
Michaela Sidikova ◽  
Rene Jaros ◽  
Khosrow Behbehani ◽  
...  

Advanced signal processing methods are one of the fastest developing scientific and technical areas of biomedical engineering with increasing usage in current clinical practice. This paper presents an extensive literature review of the methods for the digital signal processing of cardiac bioelectrical signals that are commonly applied in today’s clinical practice. This work covers the definition of bioelectrical signals. It also covers to the extreme extent of classical and advanced approaches to the alleviation of noise contamination such as digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation and wavelet transform.

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6343
Author(s):  
Radek Martinek ◽  
Martina Ladrova ◽  
Michaela Sidikova ◽  
Rene Jaros ◽  
Khosrow Behbehani ◽  
...  

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.


Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6064
Author(s):  
Radek Martinek ◽  
Martina Ladrova ◽  
Michaela Sidikova ◽  
Rene Jaros ◽  
Khosrow Behbehani ◽  
...  

Analysis of biomedical signals is a very challenging task involving implementation of various advanced signal processing methods. This area is rapidly developing. This paper is a Part III paper, where the most popular and efficient digital signal processing methods are presented. This paper covers the following bioelectrical signals and their processing methods: electromyography (EMG), electroneurography (ENG), electrogastrography (EGG), electrooculography (EOG), electroretinography (ERG), and electrohysterography (EHG).


2014 ◽  
Vol 21 (2) ◽  
pp. 65-75 ◽  
Author(s):  
Jacek Marszal

AbstractThe article presents the equipment and digital signal processing methods used for modernizing the Polish Navy’s sonars. With the rapid advancement of electronic technologies and digital signal processing methods, electronic systems, including sonars, become obsolete very quickly. In the late 1990s a team of researchers of the Department of Marine Electronics Systems, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, began work on modernizing existing sonar systems for the Polish Navy. As part of the effort, a methodology of sonar modernization was implemented involving a complete replacement of existing electronic components with newly designed ones by using bespoke systems and methods of digital signal processing. Large and expensive systems of ultrasound transducers and their dipping and stabilisation systems underwent necessary repairs but were otherwise left unchanged. As a result, between 2001 and 2014 the Gdansk University of Technology helped to modernize 30 sonars of different types.


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