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IoT in Provenance Management of Medical Data

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Semantic IoT: Theory and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 941))

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Abstract

In this chapter, we propose to investsigate the applicability of semantics in the context of Internet-of-Things (IoT) to trace the origins of medical data. As IoT-devices have become the first-order source of information in the field of healthcare in various systems, the challenge of correctness and reliability of retrieved data is becoming of tremendous importance. This challenge is directly connected with the quality of patient monitoring and treatment because the decision on the patient’s state is made according to the set of measured parameters. Inaccuracy and low quality of measurements that may be caused by sensor malfunction, incorrect measurement procedure, etc. can lead to problems with comprehension of the current situation and affect further decisions. The photometric calibrating curves of Melatonin-sulfate in human urine were considered as a case-study. The Hill’s equation was used for ‘dose–response’ relationship. The photometric calibrating graphs of Melatonin-sulfate in human urine were considered as a case study. Hill’s equation imaged the ‘dose–response’ relation. The photometric transmittance of analyzed solutions was the response signal. The ordinary photometry of human urine can be in use as the simple ex-press-analysis of melatonin instead of expensive analyzes. If, sure, the accord-ant calibrators are reliable. The existing set of such calibrators yet unable warrants the trusty calibrating. Thus, the medical photometry of urinary Melatonin-sulfate is yet out of extensive use. The problem of reliable calibrators is mostly in the provenance of data.

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Acknowledgements

This investigation has been performed within the framework of the topic “Development of hardware and software complex of non-invasive monitoring of blood pressure and heart rate for dual-purpose usage” (registration number 0120U101266) supported by Ministry of Education and Science of Ukraine.

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Authors and Affiliations

  1. Petro Mohyla Black Sea National University, 68 Desantnykiv, 10, Mykolaiv, 54003, Ukraine

    Gennady Chuiko, Yaroslav Krainyk, Olga Dvornik & Yevhen Darnapuk

Authors
  1. Gennady Chuiko
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  2. Yaroslav Krainyk
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  3. Olga Dvornik
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  4. Yevhen Darnapuk
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Corresponding author

Correspondence to Yaroslav Krainyk .

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Editors and Affiliations

  1. Amity Institute of Information Technology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India

    Rajiv Pandey

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Marcin Paprzycki

  3. Amity Institute of Information Technology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India

    Nidhi Srivastava

  4. Database System Laboratory, University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Subhash Bhalla

  5. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Katarzyna Wasielewska-Michniewska

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Chuiko, G., Krainyk, Y., Dvornik, O., Darnapuk, Y. (2021). IoT in Provenance Management of Medical Data. In: Pandey, R., Paprzycki, M., Srivastava, N., Bhalla, S., Wasielewska-Michniewska, K. (eds) Semantic IoT: Theory and Applications. Studies in Computational Intelligence, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-64619-6_15

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