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- In recent years, biological physicists have developed numerous experimental tools that provide unprecedented insight into the real-time, molecular basis of the chemical processes of life. These measurement techniques record the dynamic changes in configurations of molecules or sets of interacting molecules, such as protein assemblies.
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Jul 30, 2021 · 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.
- Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros, Khosrow Behbehani, Radana Kahankova,...
- 10.3390/s21155186
- 2021
- Sensors (Basel). 2021 Aug; 21(15): 5186.
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.
Feb 2, 2013 · Recent advances in our ability to watch the molecular and cellular processes of life in action—such as atomic force microscopy, optical tweezers and Forster fluorescence resonance energy transfer—raise challenges for digital signal processing (DSP) of the resulting experimental data.
- Max A. Little, Nick S. Jones
- 2013
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).
- Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros, Khosrow Behbehani, Radana Kahankova,...
- 10.3390/s21186064
- 2021
- Sensors (Basel). 2021 Sep; 21(18): 6064.
Sep 10, 2021 · 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.
- Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros, Khosrow Behbehani, Radana Kahankova,...
- 2021
Comparative analyses of different parameters of signal processing methods, feature extraction techniques, and classifiers used in different biomedical signal processing applications are presented, in tabulated and text forms.
Dec 8, 2021 · It requires biomedical signal processing to enhance relevant information and remove noise, including denoising, filtering, spectrum estimation, and feature extraction. An accurate signal model can then be created to analyze its components and predict pathological events in the brain, heart, or muscle.
