Concurrent validity and intrasession reliability of the IDEEA accelerometry system for the quantification of spatiotemporal gait parameters

Maffiuletti, Nicola A.; Gorelick, Mark; Quervain, Inès Kramers-de; Bizzini, Mario; Munzinger, Jeannette Petrich; Tomasetti, Samuele; Stacoff, Alex

doi:10.1016/j.gaitpost.2007.01.003

Cited by 73 publications

(65 citation statements)

References 9 publications

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“…Other motion analysis systems such as gyroscopes showed high intra-and inter-session reliability (ICC 0.94-0.98 vs. ICC 0.91-0.95) and low VCs (1.34-1.57%) for cadence, speed, gait cycle time and stride length [24]. Force plates showed VCs of 1.65-2.58% and ICCs of 0.99-0.99 indicating high intra-session reliability [9]. Our results were as good as those found in other studies and indicate that the production of basic gait parameters using AGA is robust and unaffected by differences in performance techniques used by different observers.…”

Section: Discussionmentioning

confidence: 97%

“…In a test-retest setup, a triaxial AGA-test was shown to be reliable, showing ICC of 0.94-0.96 [15]. Also, Maffiulett et al found high intra-session reliability for an accelerometric gait analysis system (VC 2.73-5.72%; ICC 0.97-0.99) [9]. Other motion analysis systems such as gyroscopes showed high intra-and inter-session reliability (ICC 0.94-0.98 vs. ICC 0.91-0.95) and low VCs (1.34-1.57%) for cadence, speed, gait cycle time and stride length [24].…”

Section: Discussionmentioning

confidence: 98%

“…Recently accelerometer-based gait analysis (AGA) has emerged as a potential alternative for conventional gait analysis because of its reliability in analysing gait parameters and lower limb motion [9,10]. Various clinically relevant gait parameters, such as cadence and walking variability, can simultaneously be derived from acceleration signals using autocorrelations or peak detection algorithms [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Acceleration-based gait test for healthy subjects: Reliability and reference data

et al. 2009

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Accelerometers enable us to analyse gait outside conventional gait laboratories. Before these devices can be used in large scale studies and in clinical settings a thorough evaluation of their performance in different populations is required. The aim of this study was to present an acceleration-based reference database for healthy gait. The repeatability and inter-observer reliability of acceleration-based gait analysis was investigated. The sensitivity was tested on different age groups and the effect of gender was studied. A comprehensive set of gait parameters (i.e. cadence, speed, asymmetry and irregularity) were studied in 60 women and 60 men. Basic gait parameters showed high repeatability (VC(cadence) 1.51%, ICC(cadence) 0.996) and inter-observer reliability (ICC(cadence) 0.916), while asymmetry and irregularity showed lower repeatability (VC(asym) 47.88%, ICC(asym) 0.787) and inter-observer reliability (ICC(asym) 0.449). The effects of age and gender on gait parameters were found to be consistent with those reported in studies using other methodologies. These findings and the advantages of the device support the application of AGA for routine clinical use and in daily life.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Acceleration-based gait test for healthy subjects: Reliability and reference data

et al. 2009

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“…This three-step reliability approach was suggested by Weir [31]. In addition, we calculated the minimum detectable differences (MDDs) using a 95 percent confidence interval: [32]. In order to detect statistically significant differences between the VGRF-derived and the VAcc-derived absolute values, we conducted pairedsamples t-tests and set significance at the p < 0.05 level.…”

Section: Discussionmentioning

confidence: 99%

Reliability and validity of trunk accelerometry-derived performance measurements in a standardized heel-rise test in elderly subjects

Schmid

Hilfiker²,

Radlinger³

2011

JRRD

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Abstract-This cross-sectional study evaluated the intrasession reliability and concurrent validity of trunk accelerometry (with force plate measurements) for vertical ground reaction force and external mechanical power recorded during a standardized heel-rise (HR) test in 54 elderly subjects (mean +/-standard deviation age 81.2 +/-6.4 yr). Peak force as well as peak and average power revealed intraclass correlation coefficients of >0.75 and low standard errors of measurement for both the force plate-and the accelerometer-based curves. Correlation coefficients for these variables ranged from 0.95 to 0.98. The accelerometry-derived variables indicated significantly lower absolute values. Trunk accelerometry can be used as a reliable and valid tool for the quantification of the HR test in the elderly population. However, due to several limitations in the protocol, the use of this tool can currently only be recommended in a test-retest manner. Therefore, more research is needed to fully validate this tool for clinical use.

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“…Based on the activation pattern of the accelerometers, the accompanying software is capable of determining behaviors such as sitting, standing, and walking. The IDEEA system has evidence for its reliability and validity in both nondisabled and pathological populations [16][17][18][19][20]. Participants arrived at our laboratory early in the morning to accumulate a full day's wear time of the accelerometers.…”

Section: Methodsmentioning

confidence: 99%

Does a waist-worn ActiGraph accelerometer quantify community ambulation in persons with multiple sclerosis?

Sosnoff¹,

Socie²,

Boes³

et al. 2012

JRRD

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Abstract-Accelerometry has been recognized as a method of objectively measuring community ambulation in persons with multiple sclerosis (MS). However, the assumption that walking itself serves as a major contributor to the accelerometer signal has yet to be tested. This study examined the assumption that community-based walking is a primary contributor to accelerometer output in MS. Ambulatory persons (5 males/17 females; 13 without aid/9 with aid) with MS wore a triaxial accelerometer (ActiGraph GT3X, Health One Technologies; Fort Walton Beach, Florida) as well as an IDEEA system (MiniSun, Inc; Fresno, Florida) over the course of a single day. Outcome measures for the accelerometer included movement counts/hour for the vertical, anterior-posterior, and mediolateral axes. Outcomes for the IDEEA system included percent time walking, sitting, and standing, as well as walking speed. Pearson product correlations (r) were used to examine the associations between outcomes from the accelerometer and IDEEA system. Significant correlations were observed between percent walking time and movement counts/hour along the vertical (r = 0.84) and anterior-posterior (r = 0.69) axes. Significant correlations were further noted between movement counts/hour along the vertical axis and walking speed (r = 0.45) and self-report walking impairment (r = 0.50) and disability (r = 0.46). Such observations further support accelerometry as an objective marker of community ambulation in persons with MS.

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Concurrent validity and intrasession reliability of the IDEEA accelerometry system for the quantification of spatiotemporal gait parameters

Cited by 73 publications

References 9 publications

Acceleration-based gait test for healthy subjects: Reliability and reference data

Acceleration-based gait test for healthy subjects: Reliability and reference data

Reliability and validity of trunk accelerometry-derived performance measurements in a standardized heel-rise test in elderly subjects

Does a waist-worn ActiGraph accelerometer quantify community ambulation in persons with multiple sclerosis?

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