2013
DOI: 10.1016/j.jelekin.2013.03.010
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Tri-axial accelerometer analysis techniques for evaluating functional use of the extremities

Abstract: Activity monitors provide an objective mechanism for evaluating patient function. It is unclear what similarities or unique information may be yielded using different analyses. Fifteen patients scheduled to undergo shoulder arthroplasty and fifteen matched control subjects wore tri-axial accelerometer activity monitors bilaterally at the lower (wrist) and upper (biceps) arm for 3 days. Measures of central tendency, variance, sample entropy, and asymmetry were calculated. A novel technique to evaluate time dist… Show more

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Cited by 38 publications
(40 citation statements)
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“…; patter length = 2). 24 Finally, we computed the cross-correlation between the three orthogonal axes (that is, x-y, y-z and x-z cross-correlations). 25 The total number of variables was 59 for each accelerometer (that is, 14 variables for the four axes and three variables for the correlation between axes).…”
Section: Signal Processingmentioning
confidence: 99%
“…; patter length = 2). 24 Finally, we computed the cross-correlation between the three orthogonal axes (that is, x-y, y-z and x-z cross-correlations). 25 The total number of variables was 59 for each accelerometer (that is, 14 variables for the four axes and three variables for the correlation between axes).…”
Section: Signal Processingmentioning
confidence: 99%
“…A novel technique to evaluate activity over the course of the day included the use of activity bins. 7 The bins were created to calculate the amount of time patients were inactive, and the time spent performing activities categorized as low and high intensity. Inactive limb use time was calculated as a percentage of the total wear time: inactivity < 110 m/s 2 /epoch.…”
Section: Methodsmentioning
confidence: 99%
“…Inactive limb use time was calculated as a percentage of the total wear time: inactivity < 110 m/s 2 /epoch. 6 A within-subject normalization method was performed wherein the epoch data was divided into low and high activity bins based on the percentage of the maximum activity (MA) count determined from a control group 7 : Low activity : 110 m/s 2 /minute epoch ≤ Activity ≤ 33% of MA High activity : Activity > 33% of MA where 33% of MA is greater than 110 m/s 2 in a segment that experiences accelerations above 0.01 m/s 2 . The epochs in each bin were summed to determine the percentage of each day spent at the different activity levels, and the total percent time spent in each bin was averaged across days for analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Mirror exercise has been utilized to provide feedback to the exerciser oneself for improving neurological function with balanced usage between the left and right sides of the body. In this study, one of the most commonly practiced exercise regime, lateral raises, were conducted by body upper limbs in a synchronized fashion with and without the mirror feedback during exercises (Hurd et al, 2013;Lang et al, 2017). Performance was assessed by comparing synchronized motion between the left and right limbs by angle (°) for the positional comparison and angular acceleration (°/sec 2 ) for the motion comparison.…”
Section: Introductionmentioning
confidence: 99%