A quantitative research for determining the user requirements for developing a system to assist people with frailty

Ciubotaru, Bogdan-Iulian; Sasu, Vasilica-Gabriel; Vasilățeanu, Andrei; Goga, Nicolae; Dragomir, Ramona; Popovici, Alexandru-Filip

doi:10.1109/cscs52396.2021.00014

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…To implement our IoT system, a questionnaire about user requirements was developed and conducted to determine the functional and non-functional requirements [10]. The role of this questionnaire was to fill the gaps in knowledge of end-user input into such a system and to have a broader view of the end-user needs and concerns.…”

Section: System Designmentioning

confidence: 99%

Architecture of a Non-Intrusive IoT System for Frailty Detection in Older People

et al. 2023

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Early detection of frailty is one of the main challenges in the world we live in. Being aware of physiologic and behavior changes can predict and prevent the onset of mental complications for older people. By using modern technologies, one can get insights, which may help detection of different pathologies. In this paper, preliminary results for a novel system to detect early signs of frailty are presented. A prototype was developed and tested in laboratory conditions after requirements and functional capabilities were defined. The main advantages of the proposed architecture are the usage of commercial off-the-shelf (COTS) components and custom mechanisms of security to assure a high level of confidentiality and integrity of user-specific data. Other original elements are its easy-to-use and non-intrusive characteristics.

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Section: System Designmentioning

confidence: 99%

Architecture of a Non-Intrusive IoT System for Frailty Detection in Older People

et al. 2023

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“…In a previous study, a questionnaire was completed by 58 participants who were divided into two categories: respondents monitoring a frail patient and respondents clinically diagnosed as frail [20]. The questionnaire was administered during a short period of time in 2022.…”

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confidence: 99%

Prototype Results of an Internet of Things System Using Wearables and Artificial Intelligence for the Detection of Frailty in Elderly People

et al. 2023

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As society moves towards a preventative approach to healthcare, there is growing interest in scientific research involving technology that can monitor and prevent adverse health outcomes. The primary objective of this paper is to develop an Internet of Things (IoT) wearable system based on Fried’s phenotype that is capable of detecting frailty. To determine user requirements, the system’s architecture was designed based on the findings of a questionnaire administered to individuals confirmed to be frail. A functional prototype was successfully developed and tested under real-world conditions. This paper introduces the methodology that was used to analyze the data collected from the prototype. It proposes an interdisciplinary approach to interpret wearable sensor data, providing a comprehensive overview through both visual representations and computational analyses facilitated by machine learning models. The findings of these analyses offer insights into the ways in which different types of activities can be classified and quantified as part of an overall physical activity level, which is recognized as an important indicator of frailty. The results provide the foundations for a new generation of affordable and non-intrusive systems able to detect and assess early signs of frailty.

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A quantitative research for determining the user requirements for developing a system to assist people with frailty

Cited by 2 publications

References 7 publications

Architecture of a Non-Intrusive IoT System for Frailty Detection in Older People

Architecture of a Non-Intrusive IoT System for Frailty Detection in Older People

Prototype Results of an Internet of Things System Using Wearables and Artificial Intelligence for the Detection of Frailty in Elderly People

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