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

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

Associate Professor Ir. Dr. Malarvili BalaKrishnan (M.B. Malarvili) have acquired more than 15 years of experience in the academics as well as involvements in the biomedical industry. She is the head of Biosignal Processing Research Group under Health and Wellness Research Alliance at Universiti Teknologi Malaysia. She obtained Doctor of Philosophy in Medical Sciences Engineering from The University of Queensland, Australia in 2008. Currently, she is attached to School of Biomedical and Health Sciences Engineering, Universiti Teknologi of Malaysia. Dr. Malarvili is actively involved in research related to digital signal processing, time-frequency signal analysis, pattern recognition, biosensor and medical monitoring devices. To date, she has published nearly 100 publications consisting of refereed journals (30), books (8), scopus indexed (35), ISI indexed (20), book chapters (8) and over 20 refereed conference papers. Dr. Malarvili has also produced 13 copyrights and 5 patents. She also received 5 international awards, 12 national awards and many more appreciation certificates. In addition, she has chaired sessions as chair person in prestigious conference, editorial board member and technical reviewer by IEEE, EMBS and medical society besides appointed as scientific and technical committee members for several international conferences. She was recently selected for an 'Outstanding Woman in Health and Medical Sciences' award at the 4th Venus International Women Awards - VIWA 2019, Chennai, India.

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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