Accelerometer counts and raw acceleration output in relation to mechanical loading

Rowlands, Alex V.; Stiles, Victoria

doi:10.1016/j.jbiomech.2011.12.006

Cited by 120 publications

(135 citation statements)

References 31 publications

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“…The fact that jump-float serving could not be differentiated from sprinting or side-to-side shuffle steps using PVA is most likely due to true similarities in PVA for these movements. These results are supported by findings in a previously performed biomechanical study on PVA and ground reaction force, where jogging and running could not be separated from jumping using differences in PVA (Rowlands & Stiles, 2012). The fact that variance of PRA follows a similar pattern to that of PVA (Figure 2) is consistent with findings in the same study.…”

Section: Discussionsupporting

confidence: 91%

Application of a tri-axial accelerometer to estimate jump frequency in volleyball

Jarning

Mok

Hansen

et al. 2015

Sports Biomechanics

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This file was dowloaded from the institutional repository Brage NIH -brage.bibsys.no/nih Jarning, J. M., Mok, K.-M., Hansen, B. H., Bahr, R. (2015 AbstractPatellar tendinopathy is prevalent among athletes, and most likely associated with a high jumping load. If methods for estimating jump frequency were available, this could potentially assist in understanding and preventing this condition. The objective of this study was to explore the possibility of using peak vertical acceleration (PVA) or peak resultant acceleration (PRA) measured by an accelerometer to estimate jump frequency. Twelve male elite volleyball players (22.5  1.6 yrs) performed a training protocol consisting of 7 typical motion patterns, including jumping and non-jumping movements. Accelerometer data from the trial were obtained using a tri-axial accelerometer. In addition, we collected video data from the trial. Jump-float serving and spike jumping could not be distinguished from non-jumping movements using differences in PVA or PRA. Furthermore, there were substantial inter-participant differences in both the PVA and the PRA within and across movement types (p<0.05). These findings suggest that neither PVA nor PRA measured by a tri-axial accelerometer is an applicable method for estimating jump frequency in volleyball. A method for acquiring real-time estimates of jump frequency remains to be verified. However, there are several alternative approaches, and further investigations are needed.Word count: 3317, including tables and figure legends

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Section: Discussionsupporting

confidence: 91%

Application of a tri-axial accelerometer to estimate jump frequency in volleyball

Jarning

Mok

Hansen

et al. 2015

Sports Biomechanics

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“…This analysis showed that peak segmental accelerations, regardless of accelerometer location, were strongest related to CoM acceleration from the 10-50% of the stance phase. Peak segmental accelerations, which previously have been used to investigate whole-body mechanical loading in daily life activities 7,8 or as in this and previously studies to validate whole-body loading from bodyworn accelerometry 5,6 , can therefore describe only part of the loading the body's soft tissues is exposed to during foot-ground-contact. Trying to use peak segmental accelerations to understand whole-body mechanical loading during foot-ground-contact in team sport movements could therefore be misleading.…”

Section: Discussionmentioning

confidence: 99%

“…Accelerometers located at the hip have for example demonstrated an acceptable association with the external forces acting on the whole body, biomechanically expressed as the ground reaction forces (GRF), during daily life activities 7,8 . In addition accelerometers located at the hip and tibia have shown a strong association with GRF in vertical jumping 9,10 .…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements

Nedergaard¹,

Robinson²,

Eusterwiemann³

et al. 2017

International Journal of Sports Physiology and Performance

104

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Purpose: The aim of this study was to investigate the relationship between wholebody accelerations and body-worn accelerometry during team sports movements. Methods: Twenty male team sport players performed forward running, and anticipated 45° and 90° side-cuts at approach speeds of 2, 3, 4 and 5 m·s -1 . Wholebody Centre of Mass (CoM) accelerations were determined from ground reaction forces collected from one foot-ground-contact and segmental accelerations were measured from a commercial GPS/accelerometer unit on the upper trunk. Three higher specification accelerometers were also positioned on the GPS unit, the dorsal aspect of the pelvis, and the shaft of the tibia. Associations between mechanical load variables (peak acceleration, loading rate and impulse) calculated from both CoM accelerations and segmental accelerations were explored using regression analysis. In addition one-dimensional Statistical Parametric Mapping (SPM) was used to explore the relationships between peak segmental accelerations and CoM acceleration profiles during the whole foot-ground-contact. Results: A weak relationship was observed for the investigated mechanical load variables regardless of accelerometer location and task (R 2 values across accelerometer locations and tasks: peak acceleration 0.08-0.55, loading rate 0.27-0.59 and impulse 0.02-0.59). Segmental accelerations generally overestimated whole-body mechanical load. SPM analysis showed that peak segmental accelerations were mostly related to CoM accelerations during the first 40-50% of contact phase. Conclusions: Whilst body-worn accelerometry correlates to whole-body loading in team sports movements and can reveal useful estimates concerning loading, these correlations are not strong. Body-worn acclerometry should therefore be used with caution to monitor whole-body mechanical loading in the field.

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“…The present research utilised the direct dynamic method approach based on a point mass body model: the CM, estimated at the L4-L5 spine level to estimate the actuating forces generated when executing the analysed vertical jumping tasks (Kibele, 1998;Linthorne, 2001). The utilisation of several IU devices to assess different biomechanical variables of vertical jumping has been widely reported in the literature, demonstrating its internal validity and agreement with the gold standard (Bonnet et al, 2013;Requena et al, 2012;Rowlands & Stiles, 2012). Furthermore, using a similar methodology with respect to placing the IU at the mid lumbar spine level of the body, previous studies have also found significant correlations between the biomechanical parameters of jumping measured by IUs and force plates (Choukou et al, 2014;Requena et al, 2012;Rowlands & Stiles, 2012).…”

Section: Discussionmentioning

confidence: 80%

Vertical jumping biomechanical evaluation through the use of an inertial sensor-based technology

Setuain

Martinikorena

González-Izal

et al. 2015

Journal of Sports Sciences

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Progress in micro-electromechanical systems has turned inertial sensor units (IUs) into a suitable tool for vertical jumping evaluation. In total, 9 men and 8 women were recruited for this study. Three types of vertical jumping tests were evaluated in order to determine if the data provided by an IU placed at the lumbar spine could reliably assess jumping biomechanics and to examine the validity of the IU compared with force plate platform recordings. Robust correlation levels of the IU-based jumping biomechanical evaluation with respect to the force plate across the entire analysed jumping battery were found. In this sense, significant and extremely large correlations were found when raw data of both IU and force plate-derived normalised force-time curves were compared. Furthermore, significant and mainly moderate correlation levels were also found between both instruments when isolated resultant forces' peak values of predefined jumping phases of each manoeuvre were analysed. However, Bland and Altman graphical representation demonstrated a systematic error in the distribution of the data points within the mean ±1.96 SD intervals. Using IUs, several biomechanical variables such as the resultant force-time curve patterns of the three different vertical jumps analysed were reliably measured.

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Accelerometer counts and raw acceleration output in relation to mechanical loading

Cited by 120 publications

References 31 publications

Application of a tri-axial accelerometer to estimate jump frequency in volleyball

Application of a tri-axial accelerometer to estimate jump frequency in volleyball

The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements

Vertical jumping biomechanical evaluation through the use of an inertial sensor-based technology

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