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50th Computing in Cardiology, CinC 2023

作者： Karlsson, Mattias Wallman, Mikael Platonov, Pyotr G Ulimoen, Sara R Sandberg, Frida Fraunhofer-Chalmers Centre Dept. of Systems and Data Analysis Gothenburg Sweden Lund University Dept. of Biomedical Engineering Lund Sweden Chalmers Science Park GöteborgSE-412 88 Sweden Lund University Dept. of Cardiology Clinical Sciences Lund Sweden Bæerum Hospital Vestre Viken Hospital Trust Rud Norway

ISBN: (纸本)9798350382525

The conduction properties of the atrioventricular (AV) node have a significant impact on heart rate during permanent atrial fibrillation (AF), and can be modulated through the use of β-blockers or calcium channel blockers. These drugs have different physiological effects and are often selected empirically. Hence, an improved understanding of how these drugs affect the AV node conduction properties may contribute to personalized treatment of AF. We propose a novel methodology for estimating the refractory period and conduction delay dynamics of the fast and slow pathways of the AV node from 24-hour ambulatory ECG recordings. Our approach comprises a network model of the AV node, a problem-specific genetic algorithm, and an approximate Bayesian computation algorithm for estimating the posterior distribution of the AV node properties. We analyzed 24-hour ambulatory ECG recordings at baseline from 51 patients with permanent AF. Interestingly, a moderate correlation between the short-term variability in the refractory period for the fast pathway and reduction in heart rate during treatment with metoprolol (ρ = 0.48, p © 2023 CinC.

关键词： Electrocardiograms

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Exploring Dependence of Subject-Specific Training Strategies for EEG Based Brain-Computer Interfaces

Exploring Dependence of Subject-Specific Training Strategies...

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IEEE Southeastcon

作者： T. Warren de Wit Vineetha Menon Thomas Davis Dept. of Computer Science University of Alabama Huntsville Huntsville USA Human Systems Integration Division DEVCOM Data and Analysis Center Huntsville USA

Design and deployment of brain-computer interface enabled assistive systems poses many practical questions, including the decision of whether to use a pretrained model or to customize a model to each unique end-user. In this work, we apply this question to the application domain of a passive brain- controlled drone for use in disaster relief and hostage rescue situations. A six-class intent (e.g. EEG) recognition experiment is performed with 42 subjects. This pilot study explores and evaluates the effects of subject-specific (“customized”) versus subject- independent (“uncustomized”) modeling approaches. Based on experimental validation, we present our discussions on the observed pros and cons of each training strategy. In this study, it was noted that the uncustomized training approach had the best target detection performance with a reduction in variance. Additionally, its deployment readiness attribute make it a more relevant and feasible option for our intended use case.

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Drug Dependent Circadian Variations in AV-nodal Properties During Atrial Fibrillation

Drug Dependent Circadian Variations in AV-nodal Properties D...

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2022 Computing in Cardiology, CinC 2022

作者： Karlsson, Mattias Wallman, Mikael Platonov, Pyotr G Ulimoen, Sara R. Sandberg, Frida Dept. of Systems and Data Analysis Fraunhofer-Chalmers Centre Gothenburg Sweden Dept. of Biomedical Engineering Lund University Lund Sweden Dept. of Cardiology Clinical Sciences Lund University Lund Sweden Vestre Viken Hospital Trust Bærum Hospital Rud Norway

ISBN: (纸本)9798350300970

The heart rate during atrial fibrillation (AF) is highly dependent on the conduction properties of the atrioventricular (AV) node, which can be affected using β-blockers or calcium channel blockers, often chosen empirically. Thus, characterization of the AV nodal conduction properties could contribute to personalized treatment of AF. We have created a mathematical network model of the AV node where continuous estimation of the refractory period and conduction delay from 24-hour ambulatory ECGs from patients with permanent AF (n=59) was achieved using a problem-specific genetic algorithm. Circadian variations in the resulting model parameter trends were quantified using cosinor analysis, and differences between treatment with β-blockers and calcium blockers were assessed using a linear-mixed effect approach. The mixed-effects analysis indicated increased refractoriness relative to baseline for all drugs. For the β-blockers, an additional decrease in circadian variation for parameters representing conduction delay was observed. This indicates that the two drug types have quantifiable differences in their effects on AV-nodal conduction properties. The proposed method enables analysis of circadian variation in AV node conduction delay and refractoriness from 24h ambulatory ECG, which can be used to monitor and possibly predict the effect of rate control drugs. © 2022 Creative Commons.

关键词： Calcium

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EEG Context Fusion for AI-Based Object Detection and Drone Navigation in Situationally Aware Brain-Computer Interfaces

EEG Context Fusion for AI-Based Object Detection and Drone N...

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： T. Warren de Wit Vineetha Menon Nathan Tenhundfeld Thomas Davis Dept. of Computer Science University of Alabama Huntsville Huntsville USA Dept. of Psychology University of Alabama Huntsville Huntsville USA Human Systems Integration Division DEVCOM Data and Analysis Center Huntsville USA

We are interested in the utility that artificially intelligent mobile systems such as drones offer to personnel in fast-paced situations such as hostage rescue and disaster relief for real-time situational awareness. Ideally, these assistive systems place no additional cognitive or physical burden on their user; rather, they should respond to the user’s intent with minimal physical and cognitive burden. To this end, brain-computer interface (BCI) and in particular electroencephalography (EEG) offers a novel way to capture intent. EEG-based drone control has been explored, but typically relies on the domain of motor imagery (MI), which still requires somewhat-manual drone piloting for micro directional movement, adding cognitive burden. We propose leveraging the robust computer-vision based AI that exists on modern drones to use objects as waypoints and fly mostly autonomously, with EEG in an object recognition paradigm for passively selecting the waypoint. While existing techniques for EEG object recognition-including steady-state visually evoked potentials (SSVEP), rapid serial visual presentation (RSVP), and eye tracking - rely on “marked” input or a controlled environment, we need one that will work on passive objects. In this work, we propose merging available scene imagery in a vision network with deep-learning based EEG processing to achieve passive intent recognition. The proposed context-scene fusion for a situational awareness paradigm presents accuracy in the same ranges as existing object recognition without requiring SSVEP, RSVP, eye tracking, or MI techniques and serves as proof-of-concept for this approach to real-world BCI applications.

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Non-Invasive Characterization of Atrio-Ventricular Properties during Atrial Fibrillation

Non-Invasive Characterization of Atrio-Ventricular Propertie...

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2021 Computing in Cardiology, CinC 2021

作者： Karlsson, Mattias Wallman, Mikael Ulimoen, Sara R. Sandberg, Frida Fraunhofer-Chalmers Centre Dept. of Systems and Data Analysis Gothenburg Sweden Lund University Dept. of Biomedical Engineering Lund Sweden Vestre Viken Hospital Trust Brærum Hospital Rud Norway

ISBN: (纸本)9781665479165

The atrio-ventricular (AV) node is the primary regulator of ventricular rhythm during atrial fibrillation (AF). Hence, ECG based characterization of AV node properties can be an important tool for monitoring and predicting the effect of rate control drugs. In this work we present a network model of the AV node, and an associated workflow for robust estimation of the model parameters from ECG. The model consists of interacting nodes with refractory periods and conduction delays determined by the stimulation history of each node. The nodes are organized in one fast pathway (FP) and one slow pathway (SP), interconnected at their last nodes. Model parameters are estimated using a genetic algorithm with a fitness function based on the Poincare plot of the RR interval series. The robustness of the parameter estimates was evaluated using simulated data based on ECG measurements. Results from this show that refractory period parameters R{min}{SP} and Delta R{SP} can be estimated with an error (meanpm std) of 10pm 22 ms and-12.6pm 26 ms respectively, and conduction delay parameters D{min,tot}{SP} and Delta D{tot}{SP} with an error of 7pm 35 ms and 4pm 36 ms. Corresponding results for the fast pathway are 31.7pm 65 ms, -0.3pm 77 ms, and 1 7pm 29 ms,43pm 109 ms. This suggest that AV node properties can be assessed from ECG during AF with enough precision and robustness for monitoring the effect of rate control drugs. © 2021 Creative Commons.

关键词： Electrocardiography

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ECG-based Assessment and Therapeutic Implications of AV Nodal Conduction Dynamics During Atrial Fibrillation

ECG-based Assessment and Therapeutic Implications of AV Noda...

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Computers in Cardiology (CinC)

作者： Mattias Karlsson Mikael Wallman Pyotr G Platonov Sara R Ulimoen Frida Sandberg Dept. of Systems and Data Analysis Fraunhofer-Chalmers Centre Gothenburg Sweden Dept. of Biomedical Engineering Lund University Lund Sweden Chalmers Science Park Göteborg Sweden Dept. of Cardiology Clinical Sciences Lund University Lund Sweden Vestre Viken Hospital Trust Bæerum Hospital Rud Norway

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Drug Dependent Circadian Variations in AV-nodal Properties During Atrial Fibrillation

Drug Dependent Circadian Variations in AV-nodal Properties D...

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Computers in Cardiology (CinC)

作者： Mattias Karlsson Mikael Wallman Pyotr G Platonov Sara R. Ulimoen Frida Sandberg Dept. of Systems and Data Analysis Fraunhofer-Chalmers Centre Gothenburg Sweden Dept. of Biomedical Engineering Lund University Lund Sweden Dept. of Cardiology Clinical Sciences Lund University Lund Sweden Vestre Viken Hospital Trust Bærum Hospital Rud Norway

The heart rate during atrial fibrillation (AF) is highly dependent on the conduction properties of the atrioventricular (AV) node, which can be affected using $\beta$ -blockers or calcium channel blockers, often chosen empirically. Thus, characterization of the AV nodal conduction properties could contribute to personalized treatment of AF. We have created a mathematical network model of the AV node where continuous estimation of the refractory period and conduction delay from 24-hour ambulatory ECGs from patients with permanent AF (n=59) was achieved using a problem-specific genetic algorithm. Circadian variations in the resulting model parameter trends were quantified using cosinor analysis, and differences between treatment with $\beta$ -blockers and calcium blockers were assessed using a linear-mixed effect approach. The mixed-effects analysis indicated increased refractoriness relative to baseline for all drugs. For the $\beta$ -blockers, an additional decrease in circadian variation for parameters representing conduction delay was observed. This indicates that the two drug types have quantifiable differences in their effects on AV-nodal conduction properties. The proposed method enables analysis of circadian variation in AV node conduction delay and refractoriness from 24h ambulatory ECG, which can be used to monitor and possibly predict the effect of rate control drugs.

关键词： Drugs Heart rate Parameter estimation Calcium Atrial fibrillation Electrocardiography Market research

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Correlation analysis with Experimental Procedures and Peak Structures in Xps Spectral Round-Robin Tests on Mno Powder Sample

SSRN

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SSRN 2022年

作者： Murakami, Ryo Harada, Yoshitomo Sonobayashi, Yutaka Oji, Hiroshi Makino, Hisao Tanaka, Hiromi Taguchi, Hideyuki Sakamoto, Takanori Morita, Haruka Wakamori, Akihiko Kibe, Naoko Nishida, Shinsuke Nagata, Kenji Shinotsuka, Hiroshi Shouno, Hayaru Yoshikawa, Hideki The University of Electro-Communications Graduate School of Informatics and Engineering Chofu182-8585 Japan National Institute for Materials Science Research and Services Division of Materials Data and Integrated System Ibaraki Tsukuba305-0044 Japan Kyoto University Department of Materials Science and Engineering Kyoto606-8501 Japan Nagoya University Synchrotron radiation Research center Nagoya464-8603 Japan Kochi University of Technology School of Systems Engineering Japan National Institute of Technology Yonago College Department of Electrical and Computer Engineering Japan Nihon Parkerizing Co. Ltd Central Research Laboratories Kanagawa 254-0012 Japan JX Nippon Mining & Metals Corporation Technology Development Center Japan Melco Semiconductor Engineering Corporation Chemical Analysis & Evaluation Engineering Dept. Fukuoka Japan Kobelco Welding TechnoSolutions Co. Technical Solution Dept. Ltd Kanagawa 251-8551 Japan Furukawa Electric Co. Ltd Analysis Technology Center Sustainable Technology Laboratorie Kanagawa 220-0073 Japan

Spectral measurements provide valuable information on the electronic states and crystal structures of materials. In particular, X-ray photoelectron spectroscopy (XPS) can facilitate analysis of the chemical bond state of material surfaces. In the analysis of XPS spectra, the spectrum to be measured is typically compared to a reference spectrum measured on a known single-phase sample. Therefore, establishing a reference spectral database is imperative. In this study, round-robin tests of XPS spectra are performed with the aim of obtaining recommended XPS reference spectra and experimental procedures, including preprocessing. Determining the variations in peak structures between instrument- and sample-derived spectral shapes, and quantitatively discussing them in round-robin tests of XPS spectra are challenging. Therefore, an analysis method that automatically determines the above mentioned variations and extracts the samplederived common spectral structures is developed. This study presents a new approach to the quantitative analysis of round-robin tests of XPS spectra. The required common © 2022, The Authors. All rights reserved.

关键词： X ray photoelectron spectroscopy

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#4901 THE EFFECT OF CHRONIC KIDNEY DISEASE IN CONTRAST-ENHANCED ULTRASONOGRAPHY WITH ARRIVAL TIME PARAMETRIC IMAGING

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Nephrology Dialysis Transplantation 2023年第SUPPLEMENT_1期38卷

作者： Marc, Luciana Lupusoru, Raluca Mihaescu, Adelina Schiller, Oana-Marina Chisavu, Lazar Pascota, Razvan Dragota Olariu, Nicu Schiller, Adalbert “Victor Babeș” University of Medicine and Pharmacy Dept. of Internal Medicine II – Division of Nephrology Timisoara Romania “Victor Babeș” University of Medicine and Pharmacy Centre for Molecular Research in Nephrology and Vascular Disease Faculty of Medicine Timisoara Romania County Emergency Hospital “Pius Brinzeu” Nephrology Clinic Timisoara Romania “Victor Babeș” University of Medicine and Pharmacy Center for Modeling Biological Systems and Data Analysis Dept. of Functional Sciences Timisoara Romania “Avitum” Hemodialysis Center Timisoara Romania

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#6030 CARDIAC ULTRASOUND ASSESSMENT AND THE NOVEL INFLAMMATION, FIBROSIS AND CALCIFICATION BIOMARKERS IN ESKD PATIENTS ON HD THERAPY: A PILOT STUDY

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Nephrology Dialysis Transplantation 2023年第SUPPLEMENT_1期38卷

作者： Schiller, Adalbert Bob, Flaviu Mihaescu, Adelina Chisavu, Lazar Marc, Luciana Schiller, Oana-Marina Lupusoru, Raluca Ivan, Viviana “Victor Babeș” University of Medicine and Pharmacy Dept. of Internal Medicine II – Division of Nephrology Timisoara Romania “Victor Babeș” University of Medicine and Pharmacy Centre for Molecular Research in Nephrology and Vascular Disease Faculty of Medicine Timisoara Romania County Emergency Hospital “Pius Brinzeu” Nephrology Clinic Timisoara Romania “Victor Babeș” University of Medicine and Pharmacy Center for Modeling Biological Systems and Data Analysis Dept. of Functional Sciences Timisoara Romania County Emergency Hospital “Pius Brinzeu” Cardiology Clinic Timisoara Romania

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