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Intelligent Monitoring System Based on ATmega Microcontrollers in Healthcare with Stress Reduce Effect

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Computational Methods in Psychiatry

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Abstract

Ensuring the well-being of individuals is a crucial responsibility in today’s society. The Medical Internet of Things (MIoT) plays a significant role in the field of medicine and healthcare. This research aimed to create a patient monitoring system using sensors and Arduino boards, combining both hardware and software components. The system utilized three primary sensors to collect and promptly transmit the patient’s health data to a central server via the network. Whenever any abnormal data was detected, the system promptly notified the doctor with an alarm message. To check the convenience and importance of the developed system for patients, tests have currently been carried out on 150 patients. Patient data was collected in the form of a dataset with various characteristics, such as age, gender, place of residence (region), hemoglobin concentration, red blood cell count, and other data obtained during the last visit to the doctor, as well as data received daily from Arduino sensors. The effectiveness of this system was evaluated, 85% of the patients surveyed were satisfied with such a system, 7% of the test subjects were not completely satisfied, and the rest ignored the survey. The adequacy and accuracy of predicting CVD were also assessed. The convenience and simplicity of the developed system have won the hearts of patients. Respondents believe that the system is less stress resistant and more reliable. Using data in the intelligence part of the system can predict the development of cardiovascular disease and fully illustrate the progress of the disease, but more detailed research is still needed.

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Authors and Affiliations

  1. Faculty of Information Technology, al-Farabi Kazakh National University, Almaty, Kazakhstan

    Z. Abdiakhmetova, Zh. Temirbekova & G. Turken

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  1. Z. Abdiakhmetova
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  2. Zh. Temirbekova
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  3. G. Turken
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Editors and Affiliations

  1. Clinical Research Centre, School of Medicinal and Health Products Sciences, University of Camerino, Camerino, Macerata, Italy

    Gopi Battineni

  2. Data Analytics and Data Science, Delhi Skill and Entrepreneurship University (under Government of NCT Delhi), New Delhi, Delhi, India

    Mamta Mittal

  3. Clinical Research Centre, School of Medicinal and Health Products Sciences, University of Camerino, Camerino, Macerata, Italy

    Nalini Chintalapudi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Abdiakhmetova, Z., Temirbekova, Z., Turken, G. (2023). Intelligent Monitoring System Based on ATmega Microcontrollers in Healthcare with Stress Reduce Effect. In: Battineni, G., Mittal, M., Chintalapudi, N. (eds) Computational Methods in Psychiatry. Springer, Singapore. https://doi.org/10.1007/978-981-99-6637-0_3

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  • DOI: https://doi.org/10.1007/978-981-99-6637-0_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6636-3

  • Online ISBN: 978-981-99-6637-0

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