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 an overview of groundbreaking tools and techniques for diagnosing and monitoring asthma, including spirometry and peak flow meters, and capnography as a new approach.

Format: Paperback / softback
Length: 208 pages
Publication date: 08 November 2022
Publisher: Elsevier Science & Technology

Asthma is a chronic respiratory condition that affects millions of people worldwide. It is characterized by inflammation and narrowing of the airways, leading to symptoms such as wheezing, shortness of breath, and chest tightness. Diagnosing and monitoring asthma is crucial for effective management and prevention of exacerbations. In recent years, there has been a significant advancement in the field of diagnostic tools for asthma assessment. One such tool is capnography, which is a non-invasive method of monitoring respiratory gases.

Capnography provides a comprehensive overview of groundbreaking tools and techniques for the diagnosis and monitoring of asthma. The book begins by providing an introduction to the human respiratory system and the pathophysiology of asthma. It then analyzes current assessment concepts, tools, and techniques used in the diagnosis and management of asthma.

One of the key tools discussed in the book is spirometry, which is a common method used to assess asthma. Spirometry measures the volume and speed of air exhaled during a forced exhalation. It is a reliable and reproducible test that can be used to monitor changes in lung function over time. However, spirometry has some limitations, such as the inability to measure exhaled carbon dioxide (CO2) levels.

To address this limitation, capnography is introduced as a new approach to asthma assessment. Capnography measures the concentration of carbon dioxide and other respiratory gases in the exhaled air. It provides a more accurate measurement of CO2 levels, which can be important in diagnosing and monitoring asthma. The book includes a detailed description of capnography as a new approach, along with various studies conducted on its analysis.

Capnography has several advantages over traditional diagnostic tools. It is non-invasive, meaning it does not involve any insertion or penetration of the body. It is also portable, allowing for easy monitoring of respiratory gases in different settings, such as homes, clinics, and hospitals. Additionally, capnography can provide real-time data, allowing for timely intervention and management of asthma symptoms.

The book also discusses the limitations of capnography as a diagnostic tool for asthma. While capnography is a promising approach, it is not without its challenges. For example, it may not be as sensitive as spirometry in detecting early changes in lung function. Additionally, capnography requires specialized equipment and training, which may not be readily available in all healthcare settings.

Despite these limitations, capnography has been shown to be a valuable tool in the diagnosis and monitoring of asthma. It has been used in various studies to improve the accuracy of asthma diagnosis, predict exacerbations, and assess the effectiveness of treatment interventions. Academicians and researchers in biomedical engineering, particularly in the course of biomedical signal processing and biomedical instrumentation, will find the book useful.

In conclusion, 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. Capnography is a non-invasive method of monitoring respiratory gases that has the potential to improve the accuracy and efficiency of asthma diagnosis and management. While there are some limitations to capnography, it has been shown to be a valuable tool in the field of biomedical engineering. The book will be useful to academics and researchers in biomedical engineering, particularly in the course of biomedical signal processing and biomedical instrumentation.

Weight: 366g
Dimension: 152 x 230 x 18 (mm)
ISBN-13: 9780323857475