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1. royalsocietypublishing.org › doi › 10Signal processing for molecular and cellular biological ...

   royalsocietypublishing.org › doi › 10

   Feb 13, 2013 · Biophysical signal processing algorithms have been developed by experimentalists to solve problems specific to their own questions of interest.

   • Author: Max A. Little, Nick S. Jones

   • Publish Year: 2013

2. www.ma.imperial.ac.uk › ~nsjones › sigprocpapersSignal processing for molecular and cellular biological ...

   www.ma.imperial.ac.uk › ~nsjones › sigprocpapers

   Gaussian signal processing algorithms. These algorithms are often interesting in their own right as they provide examples where advances in digital signal processing have novel practical applications in science. Biophysical signal processing algorithms have been developed by experimentalists to solve problems specific to

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4. www.ncbi.nlm.nih.gov › pmc › articlesAdvanced Bioelectrical Signal Processing Methods: Past ...

   www.ncbi.nlm.nih.gov › pmc › articles

   Jul 30, 2021 · Through an extensive review of the latest methods of biological signal processing, this paper aims to provide a convenient means of considering various methods appropriate for the processing of bioelectrical signals for the clinical application at hand.

   • Author: Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros, Khosrow Behbehani, Radana Kahankova,...
   • DOI: 10.3390/s21155186

   • Publish Year: 2021
   • Publication: Sensors (Basel). 2021 Aug; 21(15): 5186.

5. www.sciencedirect.com › science › articleBioSPPy: A Python toolbox for physiological signal processing

   www.sciencedirect.com › science › article

   May 1, 2024 · In this section, we illustrate the use of BioSPPy, with an example of Electrodermal Activity (EDA) signal pre-processing, from its raw form to a cleaned version, ending with the extraction of characteristic features.

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     1A - Signal Processing basics: SIGNAL SAMPLING (Theory)

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     Introduction to Signal Processing: Basic Signals (Lecture 2)

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7. www.ncbi.nlm.nih.gov › pmc › articlesBiological Signal Processing and Analysis for Healthcare ...

   www.ncbi.nlm.nih.gov › pmc › articles

   Jul 18, 2022 · In this Special Issue, we strive to highlight the state-of-the-art signal processing technologies that are suited for multi-modal physiological data integration and fusion to generate comprehensive and clinically actionable information.

8. ieeexplore.ieee.org › document › 10443806Biomedical Signal Processing: A Modern Approach | IEEE ...

   ieeexplore.ieee.org › document › 10443806

   Feb 22, 2024 · The text consists of some 14 chapters subdivided into four sections: Physiological signal processing; EEG-ECG signal processing; Gait, balanace signal processing; and Wearables, sensors signaling. This text is replete with acronyms, some of which are not defined.

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   Are digital signal processing methods effective in biomedical signals analysis?

   • 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.

   Advanced Bioelectrical Signal Processing Methods: Past, Present, and

   www.ncbi.nlm.nih.gov/pmc/articles/PMC8469046/

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   What are advanced signal processing methods in biomedical engineering?

   • Advanced signal processing methods are one of the fastest developing scientific and technical areas of biomedical engineering with increasing usage in current clinical practice.

   Advanced Bioelectrical Signal Processing Methods: Past, Present and

   www.ncbi.nlm.nih.gov/pmc/articles/PMC8346990/

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   Are signal processing methods suitable for clinical practice?

   • In general, the suitability of signal processing methods for their introduction into clinical practice depends not only on their performance, but more importantly, on their computational requirements, with the most critical one being the real-time implementation followed by the cost.

   Advanced Bioelectrical Signal Processing Methods: Past, Present, and

   www.ncbi.nlm.nih.gov/pmc/articles/PMC8469046/

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   What are the different types of bioelectrical signals?

   • This paper covers the following bioelectrical signals and their processing methods: electromyography (EMG), electroneurography (ENG), electrogastrography (EGG), electrooculography (EOG), electroretinography (ERG), and electrohysterography (EHG).

   Advanced Bioelectrical Signal Processing Methods: Past, Present, and

   www.ncbi.nlm.nih.gov/pmc/articles/PMC8469046/

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   What are informatic-related advanced signal processing methods?

   • This study mainly presents the so-called informatic-related advanced signal processing methods, which are used for digital, post-ADC signals. Purpose of these methods is to extract critical information regarding the health condition of the patients, which is contained in the signals.

   Advanced Bioelectrical Signal Processing Methods: Past, Present, and

   www.ncbi.nlm.nih.gov/pmc/articles/PMC8469046/

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   What is A biosignal module?

   • In the signals sub-package, there is a module for each biosignal type (e.g. ecg.py, eda.py, ppg.py). Using a default processing pipeline, these dedicated modules include a “main” function (with the same name as the module) that automates processing, feature extraction, and plotting for a quick analysis of the signal (Listing 2).

   BioSPPy: A Python toolbox for physiological signal processing

   www.sciencedirect.com/science/article/pii/S2352711024000839

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10. www.ncbi.nlm.nih.gov › pmc › articlesAdvanced Bioelectrical Signal Processing Methods: Past ...

    www.ncbi.nlm.nih.gov › pmc › articles

    Sep 10, 2021 · This paper covers the following bioelectrical signals and their processing methods: electromyography (EMG), electroneurography (ENG), electrogastrography (EGG), electrooculography (EOG), electroretinography (ERG), and electrohysterography (EHG).