Ventricular beat detection in single channel electrocardiograms

Dotsinsky, Ivan; Stoyanov, Todor

doi:10.1186/1475-925x-3-3

Cited by 40 publications

(15 citation statements)

References 16 publications

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“…Many different analysis strategies for DCA assessment have been developed, some of which try to model and account for physiological causes of variability, such as PaCO 2 . For example, Transfer Function Analysis (TFA) based on multiple inputs (MABP, CO 2 ) allows for correction of CO 2 influences [13], [14], while Volterra Kernels [7], [15] or Multi-model Pressure Flow Modeling [16], [17] try to capture the non-linear aspects of cerebral autoregulation. Time varying autoregressive moving average models (ARMA models) and multiple-input finite impulse response models have been used to model the non-stationary aspects of cerebral autoregulation [18], [19], [20].…”

Section: Introductionmentioning

confidence: 99%

Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

et al. 2020

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We tested the influence of blood pressure variability on the reproducibility of dynamic cerebral autoregulation (DCA) estimates. Data were analyzed from the 2 nd CARNet bootstrap initiative, where mean arterial blood pressure (MABP), cerebral blood flow velocity (CBFV) and end tidal CO2 were measured twice in 75 healthy subjects. DCA was analyzed by 14 different centers with a variety of different analysis methods. Intraclass Correlation (ICC) values increased significantly when subjects with low power spectral density MABP (PSD-MABP) values were removed from the analysis for all gain, phase and autoregulation index (ARI) parameters. Gain in the low frequency band (LF) had the highest ICC, followed by phase LF and gain in the very low frequency band. No significant differences were found between analysis methods for gain parameters, but for phase and ARI parameters, significant differences between the analysis methods were found. Alternatively, the Spearman-Brown prediction formula indicated that prolongation of the measurement duration up to 35

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Section: Introductionmentioning

confidence: 99%

Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

et al. 2020

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“…Examples include investigating the anti-cancer drug Cisplatin’s cytotoxicity as it relates to cell calcium stores [51], evaluating the use of platinum-containing delivery agents for hadron therapy cancer treatment [52], and visualization of the copper-chelating drug ATN-224, used in prostate cancer treatment and located within cells by its characteristic MoS − and MoS 2 − fragments [36]. Dynamic SIMS imaging has proven useful for direct cancer detection, for example, by imaging the distribution of the melanoma marker iodobenzamide by iodine anion formation in mice, shown to be confined to submicron-sized melanosomes [53]. Another recent study by Wedlock et al [38] focused on evaluating the distribution of a new potential gold-containing anti-cancer drug in order to elucidate its functional mechanism; dynamic SIMS was used in conjunction with energy-filtered electron microscopy in order to visualize the gold complex amongst cell contents.…”

Section: Secondary Ion Mass Spectrometry (Sims)mentioning

confidence: 99%

Mass spectrometry imaging and profiling of single cells

Lanni

Rubakhin

Sweedler

2012

Journal of Proteomics

178

145

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Mass spectrometry imaging and profiling of individual cells and subcellular structures provide unique analytical capabilities for biological and biomedical research, including determination of the biochemical heterogeneity of cellular populations and intracellular localization of pharmaceuticals. Two mass spectrometry technologies—secondary ion mass spectrometry (SIMS) and matrix assisted laser desorption ionization mass spectrometry (MALDI MS)—are most often used in micro-bioanalytical investigations. Recent advances in ion probe technologies have increased the dynamic range and sensitivity of analyte detection by SIMS, allowing two- and three-dimensional localization of analytes in a variety of cells. SIMS operating in the mass spectrometry imaging (MSI) mode can routinely reach spatial resolutions at the submicron level; therefore, it is frequently used in studies of the chemical composition of subcellular structures. MALDI MS offers a large mass range and high sensitivity of analyte detection. It has been successfully applied in a variety of single-cell and organelle profiling studies. Innovative instrumentation such as scanning microprobe MALDI and mass microscope spectrometers enable new subcellular MSI measurements. Other approaches for MS-based chemical imaging and profiling include those based on near-field laser ablation and inductively-coupled plasma MS analysis, which offer complementary capabilities for subcellular chemical imaging and profiling.

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“…numerous hardware and software solutions have been published, each of them contributing to the specific objective of the research (1,2,3,5,15,17).…”

Section: New Modality For Electrochemotherapy Of Surface Tumorsmentioning

confidence: 99%