aTUG: technical apparatus for gait and balance analysis within component-based Timed Up &amp; Go using mutual ambient sensors

Frenken, Thomas; Brell, Melina; Gövercin, Mehmet; Wegel, Sandra; Hein, Andreas

doi:10.1007/s12652-012-0151-x

Cited by 10 publications

(15 citation statements)

References 24 publications

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“…Only a few studies focused on non-motion measurements such as localization Two-thirds of the 49 studies preferred the permanent surveillance by SeTe devices. Only 22% of the research teams used SeTe devices temporarily to diagnose frailty [24], sleeping patterns [25], fall-risk probability [26], and mobility (seat-off, seat-on [27], TUG [28], and sit-to-stand [29].…”

Section: The Types Of Sete Usedmentioning

confidence: 99%

A critical systematic review and synopsis of the alignment of scientific developments in surveillance technology in nursing care facilities

Fehling¹,

Dassen²

2017

J Nurs

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Background: The deficits in the self-care of older people are often associated with a loss of autonomy and if care is not provided in the home environment by relatives or professional caregivers, then the self-care deficits may result in the admission to a residential care facility (RCF). On the other hand, in industrialized countries, the recruitment and long-term retention of professional caregivers are becoming increasingly difficult. Technical aids such as sensor technology (SeTe) could solve this dilemma and improve the autonomy, the quality of life, and the safety of the residents. Objectives: To analyze the nursing problems targeted in the studies, where was the SeTe used, and why has it been chosen, the technical limitations of SeTe and whether the studies contain ethical considerations. Design: This review followed the Cochrane Collaboration methods for systematic reviewing. The databases EBSCOhost (which includes CINAHL, MEDLINE, and PsycINFO), Web of Science, Cochrane Library, and Google Scholar were searched. Methods: This critical systematic review analyzes publications on SeTe if the nursing problems referred to by scientists have been in connection with residents of RCFs. Studies that focused on participants in hospitals and home environments or those using gaming consoles or medical applications were excluded. Results: Of the 49 studies included, 31% used only accelerometers, 20% used cameras, and 29% combined various types of SeTe devices. The use of various SeTe was beneficial, possibly because the more perspective data are combined. 51% preferred non-wearable SeTe devices, ⅔ preferred the permanent surveillance by SeTe devices. The nursing problems which the research teams concentrated on were fall risk, immobility, agitation and sleep problems. Only ¼ of the studies mention current or potential ethical considerations regarding the surveillance of residents by SeTe devices. Conclusion: It is gratifying that the international interest in researching SeTe in RCFs has increased. Ethical dilemmas were hardly discussed. The future use of SeTe in RCFs is certainly desirable and unavoidable, but consulting the residents, professional caregivers, and nursing scientists about their requirements for useful and necessary technical surveillance first seems usefull. Relevance to Clinical Practice: Currently RCFs should continue to use the SeTe cautiously. Professional caregivers in RCFs should be able to convey the growing self-image of nursing into similar SeTe research projects.

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Section: The Types Of Sete Usedmentioning

confidence: 99%

A critical systematic review and synopsis of the alignment of scientific developments in surveillance technology in nursing care facilities

Fehling¹,

Dassen²

2017

J Nurs

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“…To increase the usefulness of the TUG, several studies used an instrumented approach, especially body-worn sensors [23,24]. Barry and al [25] exploited two SHIMMER kinematic sensors to assess fall risk using the items of the TUG tests.…”

Section: Related Workmentioning

confidence: 99%

Risk of Falling Assessment on Different Types of Ground Using the Instrumented TUG

Brahem

Ayena²,

Otis

et al. 2015

2015 IEEE International Conference on Systems, Man, and Cybernetics

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Abstract-Degradation of postural control observed with aging is responsible for balance problems in the elderly, especially during the activity of walking. This gradual loss of performance generates abnormal gait, and therefore increases the risk of falling. This risk worsens in people with neuronal pathologies like Parkinson and Ataxia diseases. Many clinical tests are used for fall assessment such as the Timed up and go (TUG) test. Recently, many works have improved this test by using instrumentation, especially body-worn sensors. However, during the instrumented TUG (iTUG) test, the type of ground can influence risk of falling. In this paper, we present a new methodology for fall risk assessment based on quantitative gait parameters measurement in order to improve instrumented TUG test. The proposed measurement unit is used on different types of ground, which is known to affect human gait. The methodology is closer to the real walking environment and therefore enhances ability to differentiate risks level. Our system assesses the risk of falling's level by quantitative measurement of intrinsic gait parameters using fuzzy logic. He is also able to measure environmental parameters such as temperature, humidity and atmospheric pressure for a better evaluation of the risk in activities of daily living (ADL).

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“…the levodopa) comes with some drawbacks such as an increase of gait impairment (Băjenaru et al 2016), the main objective of fall prevention is therefore to maintain balance and an independent lifestyle thanks to a non-pharmacological method. To achieve this goal, a person's functional ability is evaluated in early stage through the mean of clinical tests such as the Timed Up and Go (TUG) test (Frenken et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Comparing auditory, visual and vibrotactile cues in individuals with Parkinson’s disease for reducing risk of falling over different types of soil

Ayena

Tremblay

Otis

et al. 2017

Somatosensory & Motor Research

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aTUG: technical apparatus for gait and balance analysis within component-based Timed Up & Go using mutual ambient sensors

Cited by 10 publications

References 24 publications

A critical systematic review and synopsis of the alignment of scientific developments in surveillance technology in nursing care facilities

A critical systematic review and synopsis of the alignment of scientific developments in surveillance technology in nursing care facilities

Risk of Falling Assessment on Different Types of Ground Using the Instrumented TUG

Comparing auditory, visual and vibrotactile cues in individuals with Parkinson’s disease for reducing risk of falling over different types of soil

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