Quantifying Timed-Up-and-Go test: A smartphone implementation

Milošević, Mladen; Jovanov, Emil; Milenkovic, Aleksandar

doi:10.1109/bsn.2013.6575478

Cited by 42 publications

(36 citation statements)

References 22 publications

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“…al [11] and its extension proposed in the sTUG application [16]. In addition to these, we add several new parameters, including the number of steps made during walking.…”

Section: B Tug and 30scs Characterizationmentioning

confidence: 99%

“…The smartphone runs our modified sTUG application [16]. The application interfaces the Smart Button over the Bluetooth as well as the mHealth server over its broadband or WLAN interfaces.…”

Section: B 30-second Sit-stand Testmentioning

confidence: 99%

“…The iTUG has proven to be sensitive to pathologies [11], [12] and useful in fall risk prediction [15]. In our prior work [16] we introduced a smartphone application called sTUG (smartphone-enabled Timed-Up-and-Go). With sTUG, a smartphone is mounted on the subject's chest and the application monitors and processes signals from the smartphone's inertial sensors to extract key parameters that quantify the TUG test.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Smart Button: A wearable system for assessing mobility in elderly

Dzhagaryan

Milenkovic

Jovanov

et al. 2015

2015 17th International Conference on E-Health Networking, Application &Amp; Services (HealthCom)

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Abstract-Continuous advances in sensors, semiconductors, wireless networks, mobile and cloud computing enable the development of integrated wearable computing systems for continuous health monitoring. These systems can be used as a part of diagnostic procedures, in the optimal maintenance of chronic conditions, in the monitoring of adherence to treatment guidelines, and for supervised recovery. In this paper, we describe a wearable system called Smart Button designed to assess mobility of elderly. The Smart Button is easily mounted on the chest of an individual and currently quantifies the Timed-Upand-Go and 30-Second Chair Stand tests. These two tests are routinely used to assess mobility, balance, strength of the lower extremities, and fall risk of elderly and people with Parkinson's disease. The paper describes the design of the Smart Button, parameters used to quantify the tests, signal processing used to extract the parameters, and integration of the Smart Button into a broader mHealth system.

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“…al [11] and its extension proposed in the sTUG application [16]. In addition to these, we add several new parameters, including the number of steps made during walking.…”

Section: B Tug and 30scs Characterizationmentioning

confidence: 99%

“…The smartphone runs our modified sTUG application [16]. The application interfaces the Smart Button over the Bluetooth as well as the mHealth server over its broadband or WLAN interfaces.…”

Section: B 30-second Sit-stand Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Smart Button: A wearable system for assessing mobility in elderly

Dzhagaryan

Milenkovic

Jovanov

et al. 2015

2015 17th International Conference on E-Health Networking, Application &Amp; Services (HealthCom)

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“…Their results show that home testing is feasible. Recently, a Smartphone application has proved to be an effective tool for showing clinical tests parameters at home [14]. Other studies showed that a Smartphone-based system may be used for assessing risk of falling [15] and for training users at maintaining balance [16] over different types of ground [17] by using a serious game.…”

Section: A Technologies For Gait and Balance Disorder Analysismentioning

confidence: 99%

An efficient home-based risk of falling assessment test based on Smartphone and instrumented insole

Ayena

Chapwouo

Otis

et al. 2015

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings

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Abstract-The aim of this study is to improve and facilitate the methods used to assess risk of falling among older people at home. We propose an automatic version of One-Leg Standing (OLS) test for risk of falling assessment by using a Smartphone and an instrumented insole. For better clinical assessment tests, this study focuses on exploring methods to combine the most important parameters of risk of falling into a single score. Twenty-three volunteers participated in this study for evaluating the effectiveness of the proposed system which includes eleven elderly participants: seven healthy elderly (67.16 ± 4.24 years), four Parkinson disease (PD) subjects (70 ± 12.73 years); and twelve healthy young adults (28.27 ± 3.74 years). Our work suggests that there is an inverse relationship between OLS score proposed and risk of falling. Proposed instrumented insole and application running on Android could be useful at home as a diagnostic aid tool for analyzing the performance of elderly people in OLS test.

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“…In addition, the health care professionals also observe and report the subject's postural stability, gait, stride length, and sway to fill in a form identifying slow, tentative pace; loss of balance; short strides; little or no arm swing; shuffling; or improper use of walking aids. The sTUG Doctor application automates and quantifies the standard Timed Up and Go (TUG) test [37]. On application start, it provides options to set up configuration and subject information as shown in Figure 2.…”

Section: Smart Timed Up and Go (Stug Doctor) Applicationmentioning

confidence: 99%

An mHealth Tool Suite for Mobility Assessment

et al. 2016

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Abstract:The assessment of mobility and functional impairments in the elderly is important for early detection and prevention of fall conditions. Falls create serious threats to health by causing disabling fractures that reduce independence in the elderly. Moreover, they exert heavy economic burdens on society due to high treatment costs. Modern smartphones enable the development of innovative mobile health (mHealth) applications by integrating a growing number of inertial and environmental sensors along with the ever-increasing data processing and communication capabilities. Mobility assessment is one of the promising mHealth application domains. In this paper, we introduce a suite of smartphone applications for assessing mobility in the elderly population. The suite currently includes smartphone applications that automate and quantify the following standardized medical tests for assessing mobility: Timed Up and Go (TUG), 30-Second Chair Stand Test (30SCS), and 4-Stage Balance Test (4SBT). For each application, we describe its functionality and a list of parameters extracted by processing signals from smartphone's inertial sensors. The paper shows the results from studies conducted on geriatric patients for TUG tests and from experiments conducted in the laboratory on healthy subjects for 30SCS and 4SBT tests.

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Quantifying Timed-Up-and-Go test: A smartphone implementation

Cited by 42 publications

References 22 publications

Smart Button: A wearable system for assessing mobility in elderly

Smart Button: A wearable system for assessing mobility in elderly

An efficient home-based risk of falling assessment test based on Smartphone and instrumented insole

An mHealth Tool Suite for Mobility Assessment

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