Evaluation of a hybrid system for three-dimensional measurement of trunk posture in motion

Plamondon, André; Delisle, Alain; Larue, Christian; Brouillette, D.; McFadden, D.; Desjardins, P.; Larivière, Christian

doi:10.1016/j.apergo.2006.12.006

Cited by 88 publications

(72 citation statements)

References 21 publications

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“…Many studies have shown the validity of the IMC system for measurement of kinematics (Cutti et al, 2008;Faber et al, 2013b;Godwin et al, 2009;Luinge and Veltink, 2005;Plamondon et al, 2007;Roetenberg et al, 2005). However, the number of studies testing the validity of the system for the assessment of the kinetics (e.g.…”

Section: Introductionmentioning

confidence: 99%

Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system

Faber

Chang

Kingma

et al. 2016

Journal of Biomechanics

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a b s t r a c tInertial motion capture (IMC) systems have become increasingly popular for ambulatory movement analysis. However, few studies have attempted to use these measurement techniques to estimate kinetic variables, such as joint moments and ground reaction forces (GRFs).Therefore, we investigated the performance of a full-body ambulatory IMC system in estimating 3D L5/S1 moments and GRFs during symmetric, asymmetric and fast trunk bending, performed by nine male participants. Using an ambulatory IMC system (Xsens/MVN), L5/S1 moments were estimated based on the upper-body segment kinematics using a top-down inverse dynamics analysis, and GRFs were estimated based on full-body segment accelerations.As a reference, a laboratory measurement system was utilized: GRFs were measured with Kistler force plates (FPs), and L5/S1 moments were calculated using a bottom-up inverse dynamics model based on FP data and lower-body kinematics measured with an optical motion capture system (OMC). Correspondence between the OMCþ FP and IMC systems was quantified by calculating root-mean-square errors (RMSerrors) of moment/force time series and the interclass correlation (ICC) of the absolute peak moments/forces.Averaged over subjects, L5/S1 moment RMSerrors remained below 10 Nm (about 5% of the peak extension moment) and 3D GRF RMSerrors remained below 20 N (about 2% of the peak vertical force). ICCs were high for the peak L5/S1 extension moment (0.971) and vertical GRF (0.998). Due to lower amplitudes, smaller ICCs were found for the peak asymmetric L5/S1 moments (0.690-0.781) and horizontal GRFs (0.559-0.948).In conclusion, close correspondence was found between the ambulatory IMC-based and laboratory-based estimates of back load.

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Section: Introductionmentioning

confidence: 99%

Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system

Faber

Chang

Kingma

et al. 2016

Journal of Biomechanics

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“…Inertial sensor-based systems have also been proposed for movement recording (Mayagoitia, Nene, & Veltink, 2002;Picerno, Cereatti, & Cappozzo, 2008;Plamondon et al, 2007;Zhou, Hu, Harris, & Hammerton, 2006;Zhou, Stone, Hu, & Harris, 2008). These have the advantage of being wearable, freeing the subject from the constraints of executing movements within a defined volume, as is the case with the systems mentioned previously (i.e., markers in magnetic or optical systems are wearable, but the acquisition system is not, which requires that the subject constrain his movements to the volume covered by the acquisition equipment).…”

Section: Movement Acquisition Devices For Human Motion Trackingmentioning

confidence: 99%

Can computer mice be used as low-cost devices for the acquisition of planar human movement velocity signals?

O’Reilly

Plamondon

2010

Behav Res

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The main goal of this work is to determine whether a computer mouse can be used as a low-cost device for the acquisition of two-dimensional human movement velocity signals in the context of psychophysical studies and biomedical applications. A comprehensive overview of the related literature is presented, and the problem of characterizing mouse movement acquisition is analyzed and discussed. Then, the quality of velocity signals acquired with this kind of device is measured on horizontal oscillatory movements by comparing the mouse data to the signals acquired simultaneously by a video motion tracking system and a digitizing tablet. A synthesis of the information gathered in this work indicates that the computer mouse can be used for the reliable acquisition of biosignals in the context of human movement studies, particularly for many applications dealing with the velocity of the end effector of the upper limb. This paper concludes by discussing the possibilities and limitations of such use.

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“…In addition to efforts to improve methods for measuring exposure in self-reported surveys (Stock et al, 2005b), members of the MSD axis have worked on developing methods to collect individual-level measures of biomechanical work exposure (Delisle et al, 2005(Delisle et al, , 2009Laperrière et al, 2006;Plamondon et al, 2007). Since continuous recording generates enormous amounts of data, researchers are exploring methods to select the exposure measures most relevant to the risk under study.…”

Section: Wmsd Exposure Measurement and Underlying Physiological Mechamentioning

confidence: 99%

Quebec Research on Work-related Musculoskeletal Disorders

Côté

Ngomo

Stock

et al. 2014

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This paper aimed to demonstrate the contribution of the research performed by the musculoskeletal disorders (MSD) Research Axis group of the Quebec Occupational Health and Safety Research Network towards better understanding of work-related MSD (WMSD) development and prevention. Although the group targets its work to the Quebec population, its work has significant impact around the world, placing MSD axis members and knowledge and expertise created in Quebec on the international map. Results from the contribution of members are relevant, primarily in the demonstration of the implication of physical workload as well as organizational and psychosocial work-related factors in the development of WMSDs. Also, members have demonstrated that gender, sex, social class, age and ethno-cultural groups interact in various ways with WMSD determinants. Efforts are devoted towards improving understanding of the physiological responses linked with MSDs, which could also lead to new workplace practices in rehabilitation. The group emphasizes the integration of prevention procedures from the design stage to the workplace intervention. Members have proposed research-based tools for best practices at work and also an original conceptual model as a key, novel element of a theoretical conceptualization of WMSDs. Moreover, the group focuses on improving WMSD surveillance, using multiple sources of information, providing information on newly identified health risks and developing new methods of assessing risk in order to effectively prevent disability in the working population. Finally, results from research of the MSD axis group have implications for orienting legal processes, improving legal recognition of MSDs as occupational diseases, and contributing to the evolution of legal thinking. However, much remains to be done. To that end, the group plans and encourages new initiatives for further advancement. In conclusion, the originality of the work places the group in a favourable position to address the complexity underlying WMSDs, combining expertise that enriches fundamental, clinical and population-based research.

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Evaluation of a hybrid system for three-dimensional measurement of trunk posture in motion

Cited by 88 publications

References 21 publications

Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system

Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system

Can computer mice be used as low-cost devices for the acquisition of planar human movement velocity signals?

Quebec Research on Work-related Musculoskeletal Disorders

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