Using a marker-less method for estimating L5/S1 moments during symmetrical lifting.

The aim of this study is to analyze the validity of a computer vision-based method to estimate 3D L5/S1 joint moment during symmetrical lifting. An important criterion to identify the non-ergonomic lifting task is the value of net moment at L5/S1 joint. This is usually calculated in a laboratory environment which is not practical for on-site biomechanical analysis. The validity of the proposed method, was assessed externally by comparing the results with a lab-based reference method and internally by comparing the estimated L5/S1 joint moments from top-down model and bottom-up model. It was shown that no significant differences in peak and mean moments between the two methods and intra-class correlation coefficients revealed excellent reliability of the proposed method (>0.91). The proposed method provides a reliable tool for assessment of lower back loads during occupational lifting and can be an alternative when the use of marker-based motion tracking systems is not possible.

[1]  A Plamondon,et al.  Sensitivity analysis of segment models to estimate the net reaction moments at the L5/S1 joint in lifting. , 1998, Medical engineering & physics.

[2]  J. Katz,et al.  Lumbar disc disorders and low-back pain: socioeconomic factors and consequences. , 2006, The Journal of bone and joint surgery. American volume.

[3]  Xu Xu,et al.  Estimating 3-D L5/S1 Moments During Manual Lifting Using a Video Coding System , 2012, Hum. Factors.

[4]  A. Hof,et al.  An explicit expression for the moment in multibody systems. , 1992, Journal of biomechanics.

[5]  Idsart Kingma,et al.  Inter-rater reliability of a video-analysis method measuring low-back load in a field situation. , 2013, Applied ergonomics.

[6]  M. Bovenzi.  A longitudinal study of low back pain and daily vibration exposure in professional drivers. , 2010, Industrial health.

[7]  J. Anema,et al.  The Trend in Total Cost of Back Pain in the Netherlands in the Period 2002 to 2007 , 2011, Spine.

[8]  G. David.  Ergonomic methods for assessing exposure to risk factors for work-related musculoskeletal disorders. , 2005, Occupational medicine.

[9]  W. Patrick Neumann,et al.  The accuracy of self-report and trained observer methods for obtaining estimates of peak load information during industrial work , 1997 .

[10]  Cristian Sminchisescu,et al.  Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[11]  C. Cobelli,et al.  Comparison of Markerless and Marker-Based Motion Capture Technologies through Simultaneous Data Collection during Gait: Proof of Concept , 2014, PloS one.

[12]  Brad D Hendershot,et al.  Three-dimensional joint reaction forces and moments at the low back during over-ground walking in persons with unilateral lower-extremity amputation. , 2014, Clinical biomechanics.

[13]  D B Chaffin,et al.  A longitudinal study of low-back pain as associated with occupational weight lifting factors. , 1973, American Industrial Hygiene Association journal.

[14]  Babak Bazrgari,et al.  Age related differences in mechanical demands imposed on the lower back by manual material handling tasks. , 2016, Journal of biomechanics.

[15]  G. Andersson.  Epidemiological features of chronic low-back pain , 1999, The Lancet.

[16]  A J van der Beek,et al.  Assessment of mechanical exposure in ergonomic epidemiology. , 1998, Occupational and environmental medicine.

[17]  I. Kingma,et al.  Supporting the upper body with the hand on the thigh reduces back loading during lifting. , 2016, Journal of biomechanics.

[18]  P. de Leva.  Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters. , 1996, Journal of biomechanics.

[19]  J. Kaufman,et al.  Comparison of self-report, video observation and direct measurement methods for upper extremity musculoskeletal disorder physical risk factors , 2001, Ergonomics.

[20]  M. de Looze,et al.  Validation of a dynamic linked segment model to calculate joint moments in lifting. , 1992, Clinical biomechanics.

[21]  R. Riemer,et al.  Uncertainties in inverse dynamics solutions: a comprehensive analysis and an application to gait. , 2008, Gait & posture.

[22]  Henrik Aanæs,et al.  Markerless motion capture can provide reliable 3D gait kinematics in the sagittal and frontal plane. , 2014, Medical engineering & physics.

[23]  R Dumas,et al.  Validation of net joint loads calculated by inverse dynamics in case of complex movements: application to balance recovery movements. , 2007, Journal of biomechanics.

[24]  Dragomir Anguelov,et al.  VALIDATION OF A MARKERLESS MOTION CAPTURE SYSTEM FOR THE CALCULATION OF LOWER EXTREMITY KINEMATICS , 2005 .

[25]  I. Kingma,et al.  Low-back loading in lifting two loads beside the body compared to lifting one load in front of the body. , 2009, Journal of biomechanics.

[26]  C. Cobelli,et al.  A Markerless Motion Capture System to Study Musculoskeletal Biomechanics: Visual Hull and Simulated Annealing Approach , 2006, Annals of Biomedical Engineering.

[27]  I. Kingma,et al.  Validation of a full body 3-D dynamic linked segment model , 1996 .

[28]  Christian Larivière,et al.  Comparison between two dynamic methods to estimate triaxial net reaction moments at the L5/S1 joint during lifting. , 1998, Clinical biomechanics.

[29]  Frymoyer Jw,et al.  An overview of the incidences and costs of low back pain. , 1991 .

[30]  Monique H. W. Frings-Dresen,et al.  Epidemiologic evidence on manual materials handling as a risk factor for back disorders:a systematic review , 1999 .

[31]  Idsart Kingma,et al.  Estimation of low back moments from video analysis: a validation study. , 2011, Journal of biomechanics.

[32]  Cristian Sminchisescu,et al.  Twin Gaussian Processes for Structured Prediction , 2010, International Journal of Computer Vision.

[33]  J. Fleiss.  The design and analysis of clinical experiments , 1987 .

[34]  Silvia Conforto,et al.  Markerless Human Motion Analysis in Gauss–Laguerre Transform Domain: An Application to Sit-To-Stand in Young and Elderly People , 2009, IEEE Transactions on Information Technology in Biomedicine.

[35]  François Charpillet,et al.  Markerless Human Motion Capture for Gait Analysis , 2005, ArXiv.

[36]  A. Plamondon,et al.  Validation of two 3-D segment models to calculate the net reaction forces and moments at the L(5)/S(1) joint in lifting. , 1996, Clinical biomechanics.

[37]  D. Gagnon,et al.  The L5/S1 joint moment sensitivity to measurement errors in dynamic 3D multisegment lifting models , 1999 .

[38]  Patrick G. Dempsey,et al.  A computerized video coding system for biomechanical analysis of lifting tasks , 2003 .

[39]  D. Spengler,et al.  Back Injuries in Industry: A Retrospective Study: II. Injury Factors , 1986, Spine.

[40]  E. Vieira,et al.  Risk factors for work-related musculoskeletal disorders: A systematic review of recent longitudinal studies. , 2009, American journal of industrial medicine.

[41]  Claudio Cobelli,et al.  Markerless analysis of front crawl swimming. , 2011, Journal of biomechanics.

[42]  S M Hsiang,et al.  Video based lifting technique coding system. , 1998, Ergonomics.

[43]  W. Cats-Baril,et al.  An overview of the incidences and costs of low back pain. , 1991, The Orthopedic clinics of North America.

[44]  A Leardini,et al.  Position and orientation in space of bones during movement: anatomical frame definition and determination. , 1995, Clinical biomechanics.