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Data monitoring for a physical health system of elderly people using smart sensing technology

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Abstract

As the population ages, the number of elder people increases putting more burden on healthcare systems. Moreover, the advancement in artificial intelligence and the Internet of Things (IoT) have significantly propelled research in health monitoring for elderly people. The advance sensing platforms make it feasible to track the physiological characteristics and physical well-being of the elderly people in real time. This study aims to examine the changes in physiological features among the elderly population to assess the requirements for a physical health monitoring system (PHMS) tailored to their needs. By harnessing intelligent sensing technology, a comprehensive understanding of the everyday physical challenges for elder people is established, resulting in a PHMS. The paper initiates an extensive analysis of the demands associated with a geriatric PHMS, emphasizing smart sensing technology’s crucial role. Subsequently, an approach for constructing the geriatric PHMS is outlined, drawing upon the insights gained from the analysis. Building upon this foundation, the proposed PHMS for the elderly is designed, incorporating the advanced capabilities of smart sensing technology. Finally, experimental analysis is conducted to assess the effectiveness of the PHMS for the elderly people. The results indicate that the physical activity monitoring system for these people accurately detected step counts of 197, 399, 602, 795, and 989, respectively, which demonstrates the proximity to the actual step counts. In comparison, step count detection from smartphones were 186, 388, 572, 769, and 917 steps, respectively. Moreover, the elderly PHMS successfully captured the physiological parameters, with body temperature readings closely aligned with the actual values. These findings affirm the feasibility of employing intelligent sensors to effectively monitor the physical well-being of the elderly people, underscoring the importance of constructing a tailored PHMS.

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Funding

This work was supported by Research on the Integrated Mode of “Learning Evaluation and Examination Contest” of Traditional Health keeping Skills Course in Higher Vocational Medical Colleges—Zhuzhou Social Science Vocational Education Project in 2022 (ZZZJ2022103).

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Authors and Affiliations

  1. Hunan Traditional Chinese Medical College, Zhuzhou, 412000, Hunan, China

    Leiming Yang

  2. Graduate School, Adamson University, 1000, Manila, Philippines

    Leiming Yang

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  1. Leiming Yang
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Conceptualization, LY; methodology, LY; software, LY; validation, LY.

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Correspondence to Leiming Yang.

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Yang, L. Data monitoring for a physical health system of elderly people using smart sensing technology. Wireless Netw 29, 3665–3678 (2023). https://doi.org/10.1007/s11276-023-03429-y

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