Measurement of uni-planar and sport specific trunk motion using magneto-inertial measurement units: The concurrent validity of Noraxon and Xsens systems relative to a retro-reflective system

Cottam, Daniel; Campbell, Amity; Davey, Paul; Elliott, Bruce; Alderson, Jacqueline

doi:10.1016/j.gaitpost.2021.11.012

Cited by 12 publications

(12 citation statements)

References 25 publications

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“…This analysis showed that for a sample size of 106 and an alpha level of 0.05 our study had an observed power of 1 to find an effect of size 0.75. This effect size is consistent with previous validations of commercial IMU systems against optical motion capture ( Cottam et al, 2022 ).…”

Section: Resultssupporting

confidence: 91%

“…The system was calibrated prior to testing according to the manufacturer’s specifications. To obtain limb and spinal kinematics, retro-reflective markers were placed at specific landmarks of the participants based on a previously used cricket marker set ( Cottam et al, 2018 ; Cottam et al, 2022 ). Specifically, single retroreflective markers were placed overlying the suprasternal notch, xiphoid process, the spinous processes of C7 and C10, and bilaterally overlying the anterior superior iliac spine and posterior superior iliac spine.…”

Section: Methodsmentioning

confidence: 99%

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Validating an inertial measurement unit for cricket fast bowling: a first step in assessing the feasibility of diagnosing back injury risk in cricket fast bowlers during a tele-sport-and-exercise medicine consultation

Harnett

Plint

Chan

et al. 2022

PeerJ

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This study aimed to validate an array-based inertial measurement unit to measure cricket fast bowling kinematics as a first step in assessing feasibility for tele-sport-and-exercise medicine. We concurrently captured shoulder girdle relative to the pelvis, trunk lateral flexion, and knee flexion angles at front foot contact of eight cricket medium-fast bowlers using inertial measurement unit and optical motion capture. We used one sample t-tests and 95% limits of agreement (LOA) to determine the mean difference between the two systems and Smallest Worth-while Change statistic to determine whether any differences were meaningful. A statistically significant (p < 0.001) but small mean difference of −4.7° ± 8.6° (95% Confidence Interval (CI) [−3.1° to −6.4°], LOA [−22.2 to 12.7], SWC 3.9°) in shoulder girdle relative to the pelvis angle was found between the systems. There were no statistically significant differences between the two systems in trunk lateral flexion and knee flexion with the mean differences being 0.1° ± 10.8° (95% CI [−1.9° to 2.2°], LOA [−22.5 to 22.7], SWC 1.2°) and 1.6° ± 10.1° (95% CI [−0.2° to 3.3°], LOA [−19.2 to 22.3], SWC 1.9°) respectively. The inertial measurement unit-based system tested allows for accurate measurement of specific cricket fast bowling kinematics and could be used in determining injury risk in the context of tele-sport-and-exercise-medicine.

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Section: Resultssupporting

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Validating an inertial measurement unit for cricket fast bowling: a first step in assessing the feasibility of diagnosing back injury risk in cricket fast bowlers during a tele-sport-and-exercise medicine consultation

Harnett

Plint

Chan

et al. 2022

PeerJ

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“…These values are smaller compared to RMSE values reported for the previous DorsaVi Version 5 sensor for single plane lumbar flexion through-range (1.82°) [ 9 ]. The results of our study support previous research that has shown errors are generally task dependent, occurring when movements are complex, multi-plane and at extremes of end range [ 16 , 17 , 25 , 26 ]. However, differences in RMSEs between symmetrical and asymmetrical lifting were small, with the maximum difference being for peak flexion at the S2 sensor (1.56°).…”

Section: Discussionsupporting

confidence: 90%

“…Similarly, clinically acceptable agreement has been found between a gold standard 3D system and a Version 5 DorsaVi IMU (DorsaVi.com, Melbourne, Australia) for single plane lumbar movements [ 9 ]. In contrast, poorer concurrent validity has been found during complex and faster movements [ 16 , 18 ]. To date, IMU’s have not been thoroughly tested for their validity during complex movements such as repeated lifting.…”

Section: Introductionmentioning

confidence: 99%

Concurrent validity of DorsaVi wireless motion sensor system Version 6 and the Vicon motion analysis system during lifting

Chang

Smith

Saraceni

et al. 2022

BMC Musculoskelet Disord

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Background Wearable sensor technology may allow accurate monitoring of spine movement outside a clinical setting. The concurrent validity of wearable sensors during multiplane tasks, such as lifting, is unknown. This study assessed DorsaVi Version 6 sensors for their concurrent validity with the Vicon motion analysis system for measuring lumbar flexion during lifting. Methods Twelve participants (nine with, and three without back pain) wore sensors on T12 and S2 spinal levels with Vicon surface markers attached to those sensors. Participants performed 5 symmetrical (lifting from front) and 20 asymmetrical lifts (alternate lifting from left and right). The global-T12-angle, global-S2-angle and the angle between these two sensors (relative-lumbar-angle) were output in the sagittal plane. Agreement between systems was determined through-range and at peak flexion, using multilevel mixed-effects regression models to calculate root mean square errors and standard deviation. Mean differences and limits of agreement for peak flexion were calculated using the Bland Altman method. Results For through-range measures of symmetrical lifts, root mean squared errors (standard deviation) were 0.86° (0.78) at global-T12-angle, 0.90° (0.84) at global-S2-angle and 1.34° (1.25) at relative-lumbar-angle. For through-range measures of asymmetrical lifts, root mean squared errors (standard deviation) were 1.84° (1.58) at global-T12-angle, 1.90° (1.65) at global-S2-angle and 1.70° (1.54) at relative-lumbar-angle. The mean difference (95% limit of agreement) for peak flexion of symmetrical lifts, was − 0.90° (-6.80 to 5.00) for global-T12-angle, 0.60° (-2.16 to 3.36) for global-S2-angle and − 1.20° (-8.06 to 5.67) for relative-lumbar-angle. The mean difference (95% limit of agreement) for peak flexion of asymmetrical lifts was − 1.59° (-8.66 to 5.48) for global-T12-angle, -0.60° (-7.00 to 5.79) for global-S2-angle and − 0.84° (-8.55 to 6.88) for relative-lumbar-angle. Conclusion The root means squared errors were slightly better for symmetrical lifts than they were for asymmetrical lifts. Mean differences and 95% limits of agreement showed variability across lift types. However, the root mean squared errors for all lifts were better than previous research and below clinically acceptable thresholds. This research supports the use of lumbar flexion measurements from these inertial measurement units in populations with low back pain, where multi-plane lifting movements are assessed.

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“…Instantaneous velocity was recorded using a radar gun (47 Hz; Stalker Pro II ATS, Stalker, USA) from which split times were derived ( Samozino et al, 2016 ). Three-dimensional (3D) kinematics were recorded using tri-axial inertial measurement units (IMU) (200 Hz, MyoMotion; Noraxon, USA), for which sagittal plane validity and reliability has previously been reported ( Berner et al, 2020 ; Balasubramanian, 2013 ; Yoon, 2017 ; Cottam et al, 2022 ) and which have been used in previous sprint research (e.g. Struzik et al, 2015 , 2016 ; Bayne et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

Inter- and intra-limb coordination during initial sprint acceleration

2022

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In complex movements, centre of mass translation is achieved through effective joint and segment rotations. Understanding segment organisation and coordination is therefore paramount to understanding technique. This study sought to comprehensively describe inter- and intra-limb coordination and assess step-to-step changes and between-individual variation in coordination during initial sprint acceleration. Twenty-one highly trained to world class male (100 m PB 9.89-11.15 s) and female (100 m PB:11.46-12.14 s) sprinters completed sprint trials of at least 20 m from which sagittal plane kinematics were obtained for the first four steps using inertial measurement units (200 Hz). Thigh-thigh, trunk-shank and shank-foot coordination was assessed using a modified vector coding and segment dominancy approach. Common coordination patterns emerged for all segment couplings across sexes and performance levels, suggesting strong task constraints. Between-individual variation in inter-limb thigh coordination was highest in early flight, while trunk-shank and shank-foot variation was highest in late flight, with a second peak in late stance for the trunk-shank coupling. There were clear step-to-step changes in coordination, with step 1 being distinctly different to subsequent steps. The results demonstrate that inter-limb coordination is primarily anti-phase and trailing leg dominant while ankle motion in flight and late stance appears to be primarily driven by the foot.

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Measurement of uni-planar and sport specific trunk motion using magneto-inertial measurement units: The concurrent validity of Noraxon and Xsens systems relative to a retro-reflective system

Cited by 12 publications

References 25 publications

Validating an inertial measurement unit for cricket fast bowling: a first step in assessing the feasibility of diagnosing back injury risk in cricket fast bowlers during a tele-sport-and-exercise medicine consultation

Validating an inertial measurement unit for cricket fast bowling: a first step in assessing the feasibility of diagnosing back injury risk in cricket fast bowlers during a tele-sport-and-exercise medicine consultation

Concurrent validity of DorsaVi wireless motion sensor system Version 6 and the Vicon motion analysis system during lifting

Inter- and intra-limb coordination during initial sprint acceleration

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