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A Microcontroller Based System for Controlling Patient Respiratory Guidelines

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Bioinformatics and Biomedical Engineering (IWBBIO 2017)

Abstract

The need of making improvements in obtaining (in a non-invasive way) and monitoring the breathing rate parameters in a patient emerges due to (1) the great amount of breathing problems our society suffer, (2) the problems that can be solved, and (3) the methods used so far. Non-specific machines are usually used to carry out these measures or simply calculate the number of inhalations and exhalations within a particular timeframe. These methods lack of effectiveness and precision thus, influencing the capacity of getting a good diagnosis. This proposal focuses on drawing up a technology composed of a mechanism and a user application which allows doctors to obtain the breathing rate parameters in a comfortable and concise way. In addition, such parameters are stored in a database for potential consultation as well as for the medical history of the patients. For this, the current approach takes into account the needs, the capacities, the expectations and the user motivations which have been compiled by means of open interviews, forum discussions, surveys and application uses. In addition, an empirical evaluation has been conducted with a set of volunteers. Results indicate that the proposed technology may reduce cost and improve the reliability of the diagnosis.

The original version of this chapter was revised: The Acknowledgements section was included. The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-56154-7_65

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Acknowledgements

This research has been supported by the Pololas project (TIN2016-76956-C3-2-R) and by the SoftPLM Network (TIN2015-71938-REDT) of the Spanish the Ministry of Economy and Competitiveness.

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Correspondence to Leticia Morales .

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Morales, L., Morales, M.D., Jiménez-Ramírez, A., Escalona, M.J. (2017). A Microcontroller Based System for Controlling Patient Respiratory Guidelines. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2017. Lecture Notes in Computer Science(), vol 10209. Springer, Cham. https://doi.org/10.1007/978-3-319-56154-7_56

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  • DOI: https://doi.org/10.1007/978-3-319-56154-7_56

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