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Development Of System Identification Software And Data Abstraction For Determination Of Respiratory System Parameters From Dubois Like Models
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Book Synopsis Development of System Identification Software and Data Abstraction for Determination of Respiratory System Parameters from Dubois-like Models by : Ryan Whitney McCue
Download or read book Development of System Identification Software and Data Abstraction for Determination of Respiratory System Parameters from Dubois-like Models written by Ryan Whitney McCue and published by . This book was released on 2004 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dynamic Modeling and System Identification of the Human Respiratory System by : Jiayao Yuan
Download or read book Dynamic Modeling and System Identification of the Human Respiratory System written by Jiayao Yuan and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: For spontaneously breathing patients on ventilatory support, the estimation of the lung parameters is challenging due to the added patient's breathing effort. This dissertation presents a model-based nonlinear constrained optimization algorithm to estimate, breath-by-breath, the lung resistance, the lung compliance, as well as the patient breathing effort due to the respiratory muscle activity, using readily available non-invasive measurements (airway opening pressure and airflow).
Book Synopsis Modeling and Parameter Estimation in Respiratory Control by : M.C.K. Khoo
Download or read book Modeling and Parameter Estimation in Respiratory Control written by M.C.K. Khoo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimentalists tend to revel in the complexity and multidimensionality of biological processes. Modelers, on the other hand, generally look towards parsimony as a guiding prin ciple in their approach to understanding physiological systems. It is therefore not surprising that a substantial degree of miscommunication and misunderstanding still exists between the two groups of truth-seekers. However, there have been numerous instances in physiology where the marriage of mathematical modeling and experimentation has led to powerful in sights into the mechanisms being studied. Respiratory control represents one area in which this kind of cross-pollination has proven particularly fruitful. While earlier modeling ef forts were directed primarily at the chemical control of ventilation, more recent studies have extended the scope of modeling to include the neural and mechanical aspects pertinent to respiratory control. As well, there has been a greater awareness of the need to incorpo rate interactions with other organ systems. Nevertheless, it is necessary from time to time to remind experimentalists of the existence of modelers, and vice versa. The 4th Annual Biomedical Simulations Resource (BMSR) Short Course was held in Marina Del Rey on May 21-22,1989, to acquaint respiratory physiologists and clinical researchers with state-of-the art methodologies in mathematical modeling, experiment design and data analysis, as well as to provide an opportunity for experimentalists to challenge modelers with their more recent findings.
Book Synopsis Computational Fluid and Particle Dynamics in the Human Respiratory System by : Jiyuan Tu
Download or read book Computational Fluid and Particle Dynamics in the Human Respiratory System written by Jiyuan Tu and published by Springer Science & Business Media. This book was released on 2012-09-18 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional research methodologies in the human respiratory system have always been challenging due to their invasive nature. Recent advances in medical imaging and computational fluid dynamics (CFD) have accelerated this research. This book compiles and details recent advances in the modelling of the respiratory system for researchers, engineers, scientists, and health practitioners. It breaks down the complexities of this field and provides both students and scientists with an introduction and starting point to the physiology of the respiratory system, fluid dynamics and advanced CFD modeling tools. In addition to a brief introduction to the physics of the respiratory system and an overview of computational methods, the book contains best-practice guidelines for establishing high-quality computational models and simulations. Inspiration for new simulations can be gained through innovative case studies as well as hands-on practice using pre-made computational code. Last but not least, students and researchers are presented the latest biomedical research activities, and the computational visualizations will enhance their understanding of physiological functions of the respiratory system.
Book Synopsis Data Analysis and System Identification Algorithms for Behavioral Dynamical Modeling by : Sahar Hojjatinia
Download or read book Data Analysis and System Identification Algorithms for Behavioral Dynamical Modeling written by Sahar Hojjatinia and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past few years, the development and advancements in new sensing technologies and wearable activity monitors have enabled the collection of high frequency individual data. This opens the exciting opportunity of identifying the relation between different variables and modeling the dynamic responses of the output to input variables. Such models then can be used in designing and developing targeted adaptive micro-treatments that use collected data to determine which is the best treatment option and when it should be delivered. However, there are significant challenges in the analysis of this type of data. First, due to the high rate of data collection, it can no longer be assumed that the input or the micro-intervention only has an instantaneous effect on the output; there are also some delayed effects. Moreover, such data frequently suffers from data fragmentation, i.e., poor placement of sensors, non-wear of the data collecting device and/or external disturbances that can lead to intervals of time where the data collected is not reliable, that is missing or corrupted. Literature in behavioral medicine, a multidisciplinary field focusing on health aspects of biological, behavioral, psychological, and social sciences have shown that a variety of medical and mental health conditions can be prevented or treated if intervened before or in early stages of the condition. For example, studies have shown a relationship between physical inactivity and a large range of diseases such as cardiovascular and metabolic diseases, etc. As another example, cigarette smoking is the leading preventable cause of death in the United States, responsible for about one in five deaths annually, with the yearly medical and economic burden of more than $\$300$ billion. The availability of large amounts of intensive longitudinal data and the limitation of currently used methods for analyzing such data has been the motivation behind this work. The main objective of this dissertation has been to deal with such challenges by leveraging concepts from the areas of control systems engineering, dynamical models, machine learning, and signal processing, and the application of these tools and techniques in modeling the human behavior. To achieve this goal, the main focus was to develop different algorithms and tools to identify models that consider the delayed effects of inputs and output and are capable of handling the fragmented data. Finally, the standard algorithms used and the developed ones were implemented and applied to identify the models describing the relation between different variables and analyze health problems in behavioral medicine. The drawbacks of system identification methods mostly used in literature and the efficiency of the atomic norm minimization technique in identifying parsimonious models from experimental data have motivated us to develop novel identification algorithms that consider sparsity using the atomic norm concept, in addition to using and implementing some of the standard algorithms. That is, by developing parsimonious model identification algorithms, we seek to identify models that provide a desired explanation of the data with as few parameters as possible. As an application of the algorithms used or developed in this dissertation, we identified personalized dynamic models of physical activity in response to digital messaging interventions to promote physical activity and reduce sedentary behavior. Identified switched system parameters provide the basis to tailor decision rules that can be used for future just-in-time adaptive interventions. Additionally, we proposed a new methodology to identify relation between stress and smoking considering sparsity. This is most important at the moments preceding and following the smoking episodes since it provides the basis for designing person-specific, tailored smoking cessation interventions from the parameters linking vulnerable moments to intervention decisions in the future works. As another project, a time-varying version of logistic regression model in combination with regularized l1-norm, to induce sparsity, is developed to identify the models that best describe the dynamics of the data and can predict the future outcomes.
Book Synopsis Design and Analysis of Mathematical Model for Human Respiratory System by : Ankit Kajaria
Download or read book Design and Analysis of Mathematical Model for Human Respiratory System written by Ankit Kajaria and published by LAP Lambert Academic Publishing. This book was released on 2013-01 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of this book 'Design and Analysis of the Mathematical Model for Human Respiratory System's is to provide a method for identification of the changes in human respiratory system in order to allow for an instantaneous diagnosis of the disease such as asthma by the medical staff. The present work provides a methodology for auto regressive exogenous (ARX) modelling of human respiratory system for determining proper model structure and thereafter model parameters. Estimated model parameters will reflect the dynamic changes in respiratory system so the differences between normal and disease person can be detected using this mode
Book Synopsis The Respiratory System in Equations by : Bertrand Maury
Download or read book The Respiratory System in Equations written by Bertrand Maury and published by Springer Science & Business Media. This book was released on 2013-05-13 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes an introduction to the mathematical modeling of the respiratory system. A detailed introduction on the physiological aspects makes it accessible to a large audience without any prior knowledge on the lung. Different levels of description are proposed, from the lumped models with a small number of parameters (Ordinary Differential Equations), up to infinite dimensional models based on Partial Differential Equations. Besides these two types of differential equations, two chapters are dedicated to resistive networks, and to the way they can be used to investigate the dependence of the resistance of the lung upon geometrical characteristics. The theoretical analysis of the various models is provided, together with state-of-the-art techniques to compute approximate solutions, allowing comparisons with experimental measurements. The book contains several exercises, most of which are accessible to advanced undergraduate students.
Book Synopsis Wearable Sensing and Intelligent Data Analysis for Respiratory Management by : Rui Pedro Paiva
Download or read book Wearable Sensing and Intelligent Data Analysis for Respiratory Management written by Rui Pedro Paiva and published by Elsevier. This book was released on 2022-05-24 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wearable Sensing and Intelligent Data Analysis for Respiratory Management highlights the use of wearable sensing and intelligent data analysis algorithms for respiratory function management, offering several potential and substantial clinical benefits. The book allows for the early detection of respiratory exacerbations in patients with chronic respiratory diseases, allowing earlier and, therefore, more effective treatment. As such, the problem of continuous, non-invasive, remote and real-time monitoring of such patients needs increasing attention from the scientific community as these systems have the potential for substantial clinical benefits, promoting P4 medicine (personalized, participative, predictive and preventive). Wearable and portable systems with sensing technology and automated analysis of respiratory sounds and pulmonary images are some of the problems that are the subject of current research efforts, hence this book is an ideal resource on the topics discussed. Presents an up-to-date review and current trends and hot topics in the different sub-fields (e.g., wearable technologies, respiratory sound analysis, lung image analysis, etc.) Offers a comprehensive guide for any research starting to work in the field Presents the state-of-the-art of each sub-topic, where the main works in the literature is critically reviewed and discussed, along with the main practices and techniques in each area
Book Synopsis Software Development for the Data Acquisition of Airway and Physiological Variables During Respiratory Assistance by : Kimberly S. Rogers
Download or read book Software Development for the Data Acquisition of Airway and Physiological Variables During Respiratory Assistance written by Kimberly S. Rogers and published by . This book was released on 2000 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Estimating Parameters in Parallel Compartment Models of the Respiratory System by : John G. Eyles
Download or read book Estimating Parameters in Parallel Compartment Models of the Respiratory System written by John G. Eyles and published by . This book was released on 1980 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parametric Identification of Respiratory System Using Signal Processing Techniques by : Harinath Polu
Download or read book Parametric Identification of Respiratory System Using Signal Processing Techniques written by Harinath Polu and published by . This book was released on 1993 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Development of a Modular Software System for Modeling and Analyzing Biological Pathways by : Rajesh Krishnan
Download or read book Development of a Modular Software System for Modeling and Analyzing Biological Pathways written by Rajesh Krishnan and published by . This book was released on 2007 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological pathways provide a comprehensive view of a biological phenomenon, in the form of a network of inter-related reactions or processes. Modeling the biochemical reactions helps in studying and analyzing a biological pathway. This is done through parameter extraction and development of mathematical models of the biological systems. The importance of such modeling lies in the ability to easily perform mathematical mutations and optimizations to achieve a specific result, which can then be duplicated in the laboratory. The ability to control the outputs of biological reactions increases the possibilities for new applications, such as developing crops resistant to infection and bio-engineering drugs for diseases like Hepatitis and HIV-AIDS. Studying random mutations through practical experimentation is time consuming and expensive. Mathematical modeling definitely provides an affordable and convenient virtual experimental platform. However current methods are limited, as they produce results that may be difficult to be reproduced by biologists. The typical results do not address the practical constraints and feasibilities of the proposed mathematical mutation. Hence, there is a definite need for efficient algorithms and software, which not only help study the effect of mutations in a mathematical setting, but also provide practical methods to control biological pathways in a laboratory setting. In this dissertation, we develop an algorithm named Box which addresses this issue. The Box algorithm encompasses all the steps needed, from modeling a pathway to producing the biological controls needed to achieve desired mutations. The Box algorithm can be explained in terms of six logical steps: bio-modeling development language, bio-control database integration, sensitivity analysis, bio-rules formation, output optimization and comparison. The first step, the bio-modeling development language BMDL, is a new type of representation for a biological model. It is a weighted gate representation that gives a template for each reaction type and automatically extracts the ordinary differential equation (ODE) model of the system. The bio-control database integration includes the experimental control of the biological system. The remaining four steps support virtual experimentation to optimize specific outputs. In this dissertation we have applied the Box algorithm to three biological pathways, the phage lambda system, the bioluminescence system and the TNFalpha-mediated NF-kB pathway. With the phage lambda system, our goal was to control the gain of phage lambda considered as a switch. We successfully applied the Box algorithm to produce the desired gain and also output the experimental controls needed to achieve the gain. For the bioluminescence process produced by the V. Fischeri bacterial cells, the Box algorithm was able to substantially increase the luminescence, as expressed by the Lux A/B concentration. It could do so by modifying just four rate parameters, and without the need for any other mechanism such as increasing the population of cells or auto-inducer concentration. The TNFalpha-mediated NF-kB pathway is a complex mechanism controlling cell proliferation and apoptosis. We applied our Box algorithm to improve the NF-kB output of the process. The Box algorithm provided an accurate characterization and optimization of this process. We have successfully demonstrated the application of our Box algorithm for modeling and optimizing biological pathways. The Box algorithm can translate bio-chemical reactions into mathematical models and merge mathematical mutation parameters with biological rules. This capability helps establish a convenient communication channel between the biologist and the modeling software. Our Box algorithm provides results in biological terminology rather than in numeric form. Hence biologists can expect to gain a good understanding of the biological phenomenon and its controlling factors by applying this software prior to practical experimentation.
Book Synopsis Exploring Human Respiratory Information Through a Design of a Wearable E-Health Monitoring System by : Atena Roshan Fekr
Download or read book Exploring Human Respiratory Information Through a Design of a Wearable E-Health Monitoring System written by Atena Roshan Fekr and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The measurements of human respiration signal caused by the actions of the chest wall respiratory muscles can help predict health crises. As technology matures, there exists a large potential for effective techniques that can develop the capabilities of health care systems in diagnostics and treatment of respiratory disorders. One recent area of interest is applying wearable Micro-Electro-Mechanical Systems (MEMS) to detect small movements of the body that occur during expansion and contraction of the lungs in each respiration cycle. This thesis presents a newly developed experimental system via wearable sensing technology and wireless communication. In this dissertation, we make use of accelerometer sensors to model the interior and posterior movements of the chest wall during breathing function at rest positions. These motions are analyzed in order to explore different respiratory parameters with high accuracy versus the medical references. To do so, first the problems of self-recalibration of multi-sensory systems as well as fault-tolerant multi-sensor data fusion are considered. Next, an accelerometer-based approach is developed to accurately estimate the breathing signal, respiratory timing variables and the phase shift between chest wall compartments, which is used for paradoxical breathing detection. Since it is essential to determine the critical events caused by sudden rise or fall in per breath tidal volume of the people, a technique is provided to automatically find accurate threshold values according to each individual's breath characteristics. Moreover, we integrate the use of inertial sensors with machine learning techniques to model a wide range of human respiratory patterns for the goal of cloud-based recognition of respiratory problems. Novel approaches are discussed for extracting information-rich features from the respiration signal to improve the performance of the classifiers. Furthermore, a hierarchical tree model is proposed based on multiobjective Evolutionary Algorithm (EA) to optimize two performance metrics of classification, simultaneously. Finally, an innovative biofeedback mechanism is introduced based on Dynamic Time Warping with a fast segmentation method to provide a real-time quantitative feedback during breathing therapy. So that, the proposed platform potentially lifts the people's motivation up towards treatment while precisely tracks their practice quality improvement at low cost." --
Book Synopsis Parameter Identification as an Aid to Modeling Respiratory Sinus Arrhythmia by : Eric D. Grassman
Download or read book Parameter Identification as an Aid to Modeling Respiratory Sinus Arrhythmia written by Eric D. Grassman and published by . This book was released on 1970 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: A parameter identification scheme utilizing linear programming developed by Reid and Mackay has been applied to modeling the transient heart rate response to short-term respiratory maneuvers. The method was developed specifically for identification of physiologic control mechanisms, and it is especially useful in modeling short-term transient responses due to steplike forcing functions. Parameters of linear heart rate-respiration models have been identified, and the response of the models to training data closely resembles the experimental response. This type of approach, in conjunction with empirical data of other physiologic studies, may yield important information on the mechanism and quantitative relationships involved in the dynamic heart rate response to respiration. (Author).
Author :International Business Machines Corporation. Federal Systems Division Publisher : ISBN 13 : Total Pages : pages Book Rating :4.:/5 (828 download)
Book Synopsis Systems Analysis Study for Research and Development of Respiratory Devices by : International Business Machines Corporation. Federal Systems Division
Download or read book Systems Analysis Study for Research and Development of Respiratory Devices written by International Business Machines Corporation. Federal Systems Division and published by . This book was released on 1972 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Lung Mechanics by : Jason H. T. Bates
Download or read book Lung Mechanics written by Jason H. T. Bates and published by Cambridge University Press. This book was released on 2009-07-30 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern quantitative study of lung mechanics, relating mathematical modeling and engineering principles to lung function, structure, mechanics, and disease.
Author :Agency for Health Care Research and Quality (U.S.) Publisher :Government Printing Office ISBN 13 :1587634236 Total Pages :236 pages Book Rating :4.5/5 (876 download)
Book Synopsis Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide by : Agency for Health Care Research and Quality (U.S.)
Download or read book Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide written by Agency for Health Care Research and Quality (U.S.) and published by Government Printing Office. This book was released on 2013-02-21 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)
