Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment by Malarvili

Download Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment by Malarvili Balakrishinan, Teo Aik Howe, Santheraleka Ramanathan, Mushikiwabeza Alexie, Om Prakash Singh eBook in format PDF,ePub,Kindle and Audiobook

Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment

Author : Malarvili Balakrishinan, Teo Aik Howe, Santheraleka Ramanathan, Mushikiwabeza Alexie, Om Prakash Singh

Publisher : Academic Press

Published : 2022-11-04

ISBN-10 : 0323915671

ISBN-13 : 9780323915670

Number of Pages : 208 Pages

Language : en

Descriptions Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment

Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment provides a comprehensive overview of groundbreaking tools and techniques for the diagnosis and monitoring of asthma. Sections cover an introduction to the human respiratory system and the pathophysiology of asthma before analyzing current assessment concepts, tools and techniques. The book describes spirometry and the peak flow meter as existing tools in assessing asthma along with their limitations. In addition, a detailed description of capnography as a new approach is included with various studies conducted on its analysis. Academicians and researchers in biomedical engineering, particularly in the course of biomedical signal processing and biomedical instrumentation will find the book useful. Introduces a new concept of monitoring the severity of Asthma using a new index extracted from CO2 waveforms Describes a newly designed device, including the significance of CO2 features, selection of infrared CO2 sensors, different components of the device, feature extraction, computation and transmission algorithms, data collection, and analysis and performance evaluations Includes types of capnographs, differentiating normal from abnormal capnograms

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Results Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment

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Systems and Signal Processing of Capnography as a Diagnostic … - WebCapnography is a rapid and noninvasive method of continuously monitoring the concentration of carbon dioxide (CO 2) in exhaled gases, and it has become an important …

Systems and Signal Processing of Capnography as a Diagnostic … -

Analysis of capnogram using signal processing techniques - Web · In book: Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment (pp.101-129)

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[PDF] Systems And Signal Processing Of Capnography As A … - Web · This book was released on 2022-11-18 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems and Signal Processing of …

Capnographic Analysis for Disease Classification - Quantitative analysis of the capnogram would allow capnography to be used as a diagnostic tool. Developing a capnography-based monitoring system that could

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Aik Howe Teo - ‪Hospital Pulau Pinang‬ - ‪‪Cited by 251‬‬

A novel mainstream capnometer system for polysomnography integrated with measurement of nasal pressure and thermal airflow - PubMed - Capnometry is a method to measure carbon dioxide (CO(2)) in exhaled gas and its use during polysomnography (PSG) for diagnostic of sleep apnea-hypopnea syndrome is expanding. However, some problems exist for using capnometer in combination with other respiratory monitoring devices because capnometry …

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A 1-D Deformable Convolutional Neural Network for the Quantitative Analysis of Capnographic Sensor - Capnography, the measurement of the concentration of carbon dioxide in exhaled air has the potential to provide insight into the diagnosis of many cardiopulmonary diseases. Our objective is to develop an effective deep learning algorithm to analyze capnograph and thereby diagnose Chronic Obstructive Pulmonary Disease (COPD) and Congestive Heart Failure (CHF). In this paper, we propose a novel 1D Deformable Convolutional Neural Network for the quantitative analysis of the capnograph. A learnable and deformable convolution layer and pooling layer are incorporated in 1D Convolutional Neural Network (CNN) to form a 1D Deformable CNN. The feature extraction and classification which are the main two steps in quantitative analysis of capnograph are fused into a single learning system in the proposed architecture. The learnable parameters are extracted by backpropagating the error. The proposed system classifies the capnographic signals extracted using a speed of sound-based sensor and the signal from a reference dat

Frequency analysis of capnogram signals to differentiate asthmatic and non-asthmatic conditions using radial basis function neural networks - PubMed - In this paper, the method of differentiating asthmatic and non-asthmatic patients using the frequency analysis of capnogram signals is presented. Previously, manual study on capnogram signal has been conducted by several researchers. All past researches showed significant correlation between capnogr …