Elderly frailty detection by using accelerometer-enabled smartphones and clinical information records

Fontecha, Jesús; Navarro, Fco Javier; Hervás, Ramón; Bravo, José

doi:10.1007/s00779-012-0559-5

Cited by 68 publications

(47 citation statements)

References 14 publications

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“…McLean [42] noticed that many studies are focused on negative stereotypical attributions such as frailty, dependence, inactivity, incompetence, and high resource consumption (e.g. [18]). For example, Vergados maintained that ''the elderly population can be practically considered as a pool of patients'' [71, p 575] treating ''elderly'' and ''patients'' as synonyms throughout the paper.…”

Section: Stereotypesmentioning

confidence: 99%

Ubiquitous technologies for older people

Cozza

Angeli

Tonolli

2017

Pers Ubiquit Comput

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In this paper, we present a close reading of work in ubicomp of applications for older people. Starting from three lines of enquiry defined in the inaugural issue of this journal, we discuss how ubicomp research has presented the relationship between technologies and older users. We base our reasoning on a review of papers published in Personal and Ubiquitous Computing (1997Computing ( -2014. The lines of enquiry refer to paradigms (functional vs. sociotechnical), users (stereotype and involvement), and contexts (indoor and/or outdoor). These themes address the presentation of SUITCASE project (SUstainable Integrated & Territorial CAre SErvices). This is a two-year research on care services for older citizens within the smart home construct. We develop an initial framework that not only provides a cohesive view of technologies for older people, but also serves as a salient guideline for reflective design which extends beyond the target population. This framework may also address future design projects, funding schemes, and editorial policies.

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Section: Stereotypesmentioning

confidence: 99%

Ubiquitous technologies for older people

Cozza

Angeli

Tonolli

2017

Pers Ubiquit Comput

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“…Fontecha et al [84] attached a smartphone to the waist of 20 elderly subjects. The authors developed an application that runs on the phone and collects data for the TUG test and the gait portion of the Tinetti test.…”

Section: Tug Technologiesmentioning

confidence: 99%

Toward Automating Clinical Assessments: A Survey of the Timed Up and Go

Sprint

Cook

Weeks³

2015

IEEE Rev. Biomed. Eng.

100

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Older adults often suffer from functional impairments that affect their ability to perform everyday tasks. To detect the onset and changes in abilities, healthcare professionals administer standardized assessments. Recently, technology has been utilized to complement these clinical assessments to gain a more objective and detailed view of functionality. In the clinic and at home, technology is able to provide more information about patient performance and reduce subjectivity in outcome measures. The timed up and go (TUG) test is one such assessment recently instrumented with technology in several studies, yielding promising results towards the future of automating clinical assessments. Potential benefits of technological TUG implementations include additional performance parameters, generated reports, and the ability to be self-administered in the home. In this paper, we provide an overview of the TUG test and technologies utilized for TUG instrumentation. We then critically review the technological advancements and follow up with an evaluation of the benefits and limitations of each approach. Finally, we analyze the gaps in the implementations and discuss challenges for future research towards automated, self-administered assessment in the home.

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“…The authors concluded that the results were valid, helping the examiner to detect characteristics of frailty and thus improving accuracy in diagnosis 25,26 .…”

Section: Discussionmentioning

confidence: 96%

Development of an application for mobile devices to evaluate the balance and risk of falls of the elderly

Sampaio

Castilho

Carvalho

2017

Rev. bras. geriatr. gerontol.

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Objective: to develop an application for mobile devices to evaluate the balance and risk of falls of the elderly. Method: A cross-sectional study with a sample composed of 54 elderly individuals with an average age of 71 years submitted to three balance and risk of falls evaluation tests, was performed. The Timed Up and Go (TUG) and Performance Oriented Mobility Assessment (POMA) tests were employed. Results: The results were closely correlated, identifying three groups of volunteers: low, medium and high risk of falls. When these values were compared with the analyzes performed by the application, some of the variations in the results generated by the application were not related to the classic tests, as the software could discriminate between individuals with a high and low risk of falls. Conclusion: The developed application was able to verify the oscillations present in the maintenance of static balance of the elderly and could differentiate the results into two groups of high and low risk of falls.

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Elderly frailty detection by using accelerometer-enabled smartphones and clinical information records

Cited by 68 publications

References 14 publications

Ubiquitous technologies for older people

Ubiquitous technologies for older people

Toward Automating Clinical Assessments: A Survey of the Timed Up and Go

Development of an application for mobile devices to evaluate the balance and risk of falls of the elderly

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