Titlebook: Breath Analysis for Medical Applications; David Zhang,Dongmin Guo,Ke Yan Book 2017 Springer Nature Singapore Pte Ltd. 2017 Breath signal D

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https://doi.org/10.1007/978-981-10-4322-2Breath signal Diagnosis; Signal Acquisition; Sensor Selection and Fusion; Signal Preprocessing; Pattern

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https://doi.org/10.1007/978-3-322-87042-1for the focus of the work is then explained, highlighting the importance of the breath analysis used in disease diagnosis, of the development of breath analysis device, and of the design of specific pattern recognition algorithm for breath analysis. This is followed by a statement of the objective o

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Management aus soziologischer Sichtto the present study. Following a brief introductory overview of the field, the chapter first presents the development of breath analysis. Traditional approaches like GC which have been used to analyze the compounds of breath and identify several diseases are then described. This is followed by a de

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Management aus soziologischer Sichtection, some insight behind the performance of different sensor arrays can be obtained. Thus, we can know more about the sensors, which could help us with the selection work in turn. In this chapter, we focus on the evaluation of sensor performance instead of particular sensor selection techniques.

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