Validity and reliability of an iPhone App to assess time, velocity and leg power during a sit-to-stand functional performance test

Ruiz-Cárdenas, Juan Diego; Rodríguez-Juan, Juan J.; Smart, Rowan R.; Jakobi, Jennifer M.; Jones, Gareth R.

doi:10.1016/j.gaitpost.2017.10.029

Cited by 32 publications

(29 citation statements)

References 22 publications

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“…Interestingly, sensor-based power parameters (r = 0.80–0.81) were clearly more associated with LEP than duration parameters (r = -0.41 –-0.66) in both SA and STS tests, which stresses the added value of power parameters in functional tests. It should be noted that previous research has used other simple alternative ways to estimate power in SA and STS tests, for example with smartphone applications [40, 41], Tendo Weightlifting Analyzer [42], or by only using a stopwatch [31, 32]. Because stopwatch-based approaches have the highest potential for large-scale implementation, we additionally calculated power during SA and STS based on performance durations instead of accelerometry.…”

Section: Discussionmentioning

confidence: 99%

A body-fixed-sensor-based analysis of stair ascent and sit-to-stand to detect age-related differences in leg-extensor power

Roie

Driessche

Huijben³

et al. 2019

PLoS ONE

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Human ageing is accompanied by a progressive decline in leg-extensor power (LEP). LEP is typically measured with specialized and expensive equipment, which limits the large-scale applicability. Previously, sensor-based trunk kinematics have been used to estimate the vertical power required to elevate the body’s center of mass during functional tests, but the link with LEP and age remains to be investigated. Therefore, we investigated whether a body-fixed sensor-based analysis of power during stair ascent (SA) and sit-to-stand (STS) is positively related to LEP and whether its ability to detect age-related declines is similar. In addition, the effect of load during SA and STS was investigated. 98 adults (20–70 years) performed a leg press to assess LEP, SA and 5-repetition STS tests. In SA and STS, two conditions were tested: unloaded and loaded (+10% body mass). An inertial measurement unit was used to analyze (sub)-durations and vertical power. SA and STS power were more related to LEP than duration parameters (i.e. 0.80–0.81 for power and -0.41 –-0.66 for duration parameters, p < 0.05). The average annual age-related percent change was higher in SA power (-1.38%) than in LEP (-0.86%) and STS power (-0.38%) (p < 0.05). Age explained 29% in SA power (p < 0.001), as opposed to 14% in LEP (p < 0.001) and a non-significant 2% in STS power (p = 0.102). The addition of 10% load did not influence the age-related decline of SA and STS power nor the relationship with LEP. These results demonstrate the potential of SA tests to detect age-related deterioration in neuromuscular function. SA seems more sensitive to detect age-related changes than LEP, probably because of the additional balance component and plantar- and dorsiflexor activity. On the contrary, STS is less sensitive to age-related changes because of a ceiling effect in well-functioning adults.

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Section: Discussionmentioning

confidence: 99%

A body-fixed-sensor-based analysis of stair ascent and sit-to-stand to detect age-related differences in leg-extensor power

Roie

Driessche

Huijben³

et al. 2019

PLoS ONE

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“…Marker trajectory was smoothed by taking a moving average of 11 frames. The cameras were synchronised with a force plate (Kistler Instruments, Sindelfingen, Germany) to determine the rising phase of the STS, where the movement starts with peak vertical ground reaction force ('seat-off') and ends when vertical force reaches body weight prior to the overshoot [12,18]. Seat-off represents the beginning of the extension phase and the transition from horizontal to vertical force [18].…”

Section: Three-dimensional Motion Capturementioning

confidence: 99%

“…Indeed, an iPhone App has been purpose-built to measure time, velocity and power during a single STS. One internal validation study reported high correlations between STS measurements obtained by the App and those collected by a force plate (Pearson correlations: 0.85-0.91) [12]. However, the large inter-individual variation that inevitably exists in a sample of adults aged 21 to 87 years can inflate correlations because the correlation coefficient is sensitive to the spread of values between participants [13].…”

Section: Introductionmentioning

confidence: 99%

Validity of various portable devices to measure sit-to-stand velocity and power in older adults

et al. 2020

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“…Due to their small size and portability, triaxial accelerometers were the first devices to be used to monitor physical activity and/or everyday movements in different settings [ 8 , 24 , 25 , 26 ]. More recently, some studies have investigated the relevance of using smartphones with incorporated accelerometers in clinical settings [ 27 ] and more particularly for the assessment of the STS [ 2 , 28 , 29 , 30 , 31 ]. Many studies have therefore attempted to evaluate STS movements with either a single accelerometer or multiple accelerometers, both embedded and not embedded in smartphones, placed over different regions of the human body.…”

Section: Introductionmentioning

confidence: 99%

Sit-To-Stand Movement Evaluated Using an Inertial Measurement Unit Embedded in Smart Glasses—A Validation Study

Hellec

Chorin

Castagnetti³

et al. 2020

Sensors

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Wearable sensors have recently been used to evaluate biomechanical parameters of everyday movements, but few have been located at the head level. This study investigated the relative and absolute reliability (intra- and inter-session) and concurrent validity of an inertial measurement unit (IMU) embedded in smart eyeglasses during sit-to-stand (STS) movements for the measurement of maximal acceleration of the head. Reliability and concurrent validity were investigated in nineteen young and healthy participants by comparing the acceleration values of the glasses’ IMU to an optoelectronic system. Sit-to-stand movements were performed in laboratory conditions using standardized tests. Participants wore the smart glasses and completed two testing sessions with STS movements performed at two speeds (slow and comfortable) under two different conditions (with and without a cervical collar). Both the vertical and anteroposterior acceleration values were collected and analyzed. The use of the cervical collar did not significantly influence the results obtained. The relative reliability intra- and inter-session was good to excellent (i.e., intraclass correlation coefficients were between 0.78 and 0.91) and excellent absolute reliability (i.e., standard error of the measurement lower than 10% of the average test or retest value) was observed for the glasses, especially for the vertical axis. Whatever the testing sessions in all conditions, significant correlations (p < 0.001) were found for the acceleration values recorded either in the vertical axis and in the anteroposterior axis between the glasses and the optoelectronic system. Concurrent validity between the glasses and the optoelectronic system was observed. Our observations indicate that the IMU embedded in smart glasses is accurate to measure vertical acceleration during STS movements. Further studies should investigate the use of these smart glasses to assess the STS movement in unstandardized settings (i.e., clinical and/or home) and to report vertical acceleration values in an elderly population of fallers and non-fallers.

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Validity and reliability of an iPhone App to assess time, velocity and leg power during a sit-to-stand functional performance test

Cited by 32 publications

References 22 publications

A body-fixed-sensor-based analysis of stair ascent and sit-to-stand to detect age-related differences in leg-extensor power

A body-fixed-sensor-based analysis of stair ascent and sit-to-stand to detect age-related differences in leg-extensor power

Validity of various portable devices to measure sit-to-stand velocity and power in older adults

Sit-To-Stand Movement Evaluated Using an Inertial Measurement Unit Embedded in Smart Glasses—A Validation Study

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