Signal Processing
Dotaz
Zobrazit nápovědu
sv.
elektronický časopis
- Konspekt
- Technika všeobecně
- NLK Obory
- technika
- biomedicínské inženýrství
- NLK Publikační typ
- elektronické časopisy
elektronický časopis
- Konspekt
- Lékařské vědy. Lékařství
- NLK Obory
- radiologie, nukleární medicína a zobrazovací metody
- vnitřní lékařství
- NLK Publikační typ
- elektronické časopisy
sv.
- MeSH
- akustika řeči MeSH
- akustika MeSH
- signální transdukce MeSH
- Publikační typ
- periodika MeSH
- Konspekt
- Patologie. Klinická medicína
- NLK Obory
- otorinolaryngologie
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.
- MeSH
- algoritmy * MeSH
- elektrokardiografie * MeSH
- lidé MeSH
- počítačové zpracování signálu MeSH
- srdce MeSH
- vlnková analýza MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Fetal electrocardiography is among the most promising methods of modern electronic fetal monitoring. However, before they can be fully deployed in the clinical practice as a gold standard, the challenges associated with the signal quality must be solved. During the last two decades, a great amount of articles dealing with improving the quality of the fetal electrocardiogram signal acquired from the abdominal recordings have been introduced. This article aims to present an extensive literature survey of different non-adaptive signal processing methods applied for fetal electrocardiogram extraction and enhancement. It is limiting that a different non-adaptive method works well for each type of signal, but independent component analysis, principal component analysis and wavelet transforms are the most commonly published methods of signal processing and have good accuracy and speed of algorithms.
- MeSH
- algoritmy MeSH
- analýza hlavních komponent MeSH
- elektrody MeSH
- elektrokardiografie metody MeSH
- lidé MeSH
- plod fyziologie MeSH
- počítačové zpracování signálu * MeSH
- vlnková analýza MeSH
- Check Tag
- lidé 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).
sv.
- MeSH
- percepce řeči MeSH
- řeč MeSH
- sluchová percepce MeSH
- Publikační typ
- periodika MeSH
- Konspekt
- Technika všeobecně
- NLK Obory
- technika
