The analysis of biomedical signals is a very challenging task. This review paper is focused on the presentation of various methods where biomedical data, in particular vital signs, could be monitored using sensors mounted to beds. The presented methods to monitor vital signs include those combined with optical fibers, camera systems, pressure sensors, or other sensors, which may provide more efficient patient bed monitoring results. This work also covers the aspects of interference occurrence in the above-mentioned signals and sleep quality monitoring, which play a very important role in the analysis of biomedical signals and the choice of appropriate signal-processing methods. The provided information will help various researchers to understand the importance of vital sign monitoring and will be a thorough and up-to-date summary of these methods. It will also be a foundation for further enhancement of these methods.

• Klíčová slova
• biosignals, digital signal processing, sensors, vital sign monitoring,
• MeSH
• lidé MeSH
• lůžka * MeSH
• monitorování fyziologických funkcí přístrojové vybavení   metody   MeSH
• počítačové zpracování signálu MeSH
• spánek fyziologie   MeSH
• vitální znaky * fyziologie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

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.

• Klíčová slova
• bioelectrical signals, brain signals, electrocorticography, electroencephalography, signal processing methods,
• MeSH
• mozek MeSH
• počítačové zpracování signálu * MeSH
• vlnková analýza * MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

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).

• Klíčová slova
• biomedical signals, electrogastrography, electrohysterography, electromyography, electroneurography, electrooculography, electroretinography, signal processing,
• MeSH
• elektromyografie MeSH
• elektrookulografie MeSH
• elektroretinografie * MeSH
• počítačové zpracování signálu * MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH