sv.
- MeSH
- Acoustics MeSH
- Signal Processing, Computer-Assisted MeSH
- Publication type
- Periodical MeSH
- Conspectus
- Technika všeobecně
- NML Fields
- technika
elektronický časopis
- Conspectus
- Technika všeobecně
- NML Fields
- technika
- biomedicínské inženýrství
- NML Publication type
- elektronické časopisy
elektronický časopis
- MeSH
- Diagnosis MeSH
- Image Processing, Computer-Assisted MeSH
- Signal Processing, Computer-Assisted MeSH
- Conspectus
- Lékařské vědy. Lékařství
- NML Fields
- radiologie, nukleární medicína a zobrazovací metody
- vnitřní lékařství
- NML Publication type
- elektronické časopisy
sv.
- MeSH
- Speech Acoustics MeSH
- Acoustics MeSH
- Signal Transduction MeSH
- Publication type
- Periodical MeSH
- Conspectus
- Patologie. Klinická medicína
- NML Fields
- 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
- Algorithms * MeSH
- Electrocardiography * MeSH
- Humans MeSH
- Signal Processing, Computer-Assisted MeSH
- Heart MeSH
- Wavelet Analysis MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review 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
- Algorithms MeSH
- Principal Component Analysis MeSH
- Electrodes MeSH
- Electrocardiography methods MeSH
- Humans MeSH
- Fetus physiology MeSH
- Signal Processing, Computer-Assisted * MeSH
- Wavelet Analysis MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review 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
- Speech Perception MeSH
- Speech MeSH
- Auditory Perception MeSH
- Publication type
- Periodical MeSH
- Conspectus
- Technika všeobecně
- NML Fields
- technika
