Validation of a wearable system for 3D ambulatory L5/S1 moment assessment during manual lifting using instrumented shoes and an inertial sensor suit.

This study aimed to evaluate the accuracy of 3D L5/S1 moment estimates from an ambulatory measurement system consisting of a wearable inertial motion capture system (IMC) and instrumented force shoes (FSs), during manual lifting. Reference L5/S1 moments were calculated using an inverse dynamics bottom-up laboratory model (buLABmodel), based on data from a measurement system comprising optical motion capture (OMC) and force plates (FPs). System performance of (1) a bottom-up ambulatory model (buAMBmodel) using lower-body kinematic IMC and FS data, and (2) a top-down ambulatory model (tdAMBmodel) using upper-body kinematic IMC data and hand forces (HFs) were compared. HFs were estimated using full-body kinematic IMC data and FS forces. Eight males and eight females lifted a 10-kg box from different initial vertical/horizontal positions using either a free or an asymmetric lifting style. As a measure of system performance, root-mean-square (RMS) errors were calculated between the reference (buLABmodel) and ambulatory (tdAMBmodel &buAMBmodel) moments. The results showed two times smaller errors for the tdAMBmodel (averaged RMS errors < 20 Nm or 10% of peak extension moment) than for the buAMBmodel (average RMS errors < 40 Nm or 20% of peak extension moment). In conclusion, for ambulatory L5/S1 moment assessment with an IMC + FS system, using a top-down inverse dynamics approach with estimated hand forces is to be preferred over a bottom-up approach.

[1]  Jack T. Dennerlein,et al.  Estimating dynamic external hand forces during manual materials handling based on ground reaction forces and body segment accelerations. , 2013, Journal of biomechanics.

[2]  Idsart Kingma,et al.  Effect of initial horizontal object position on peak L5/S1 moments in manual lifting is dependent on task type and familiarity with alternative lifting strategies , 2011, Ergonomics.

[3]  P. Leva Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters. , 1996 .

[4]  Rolf Ellegast,et al.  Quantitative measurement of stressful trunk postures in nursing professions. , 2007, The Annals of occupational hygiene.

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

[6]  Alison Godwin,et al.  INVESTIGATING THE FEASIBILITY OF NEW METHODS FOR ANALYSIS AND COLLECTION OF HUMAN MOTION IN FIELD APPLICATIONS , 2009 .

[7]  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.

[8]  Idsart Kingma,et al.  Determination of joint moments with instrumented force shoes in a variety of tasks. , 2010, Journal of biomechanics.

[9]  J H van Dieën,et al.  Continuous ambulatory hand force monitoring during manual materials handling using instrumented force shoes and an inertial motion capture suit. , 2017, Journal of biomechanics.

[10]  Monique H W Frings-Dresen,et al.  Assessing the work-relatedness of nonspecific low-back pain. , 2005, Scandinavian journal of work, environment & health.

[11]  Vladimir M. Zatsiorsky,et al.  Kinetics of Human Motion , 2002 .

[12]  Sunwook Kim,et al.  Performance evaluation of a wearable inertial motion capture system for capturing physical exposures during manual material handling tasks , 2013, Ergonomics.

[13]  P. Veltink,et al.  Ambulatory measurement of ground reaction forces , 2005 .

[14]  Jack T Dennerlein,et al.  A novel method for assessing the 3-D orientation accuracy of inertial/magnetic sensors. , 2013, Journal of biomechanics.

[15]  Steven A Lavender,et al.  Instrumentation for measuring dynamic spinal load moment exposures in the workplace. , 2010, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[16]  Christian Larue,et al.  Effect of local magnetic field disturbances on inertial measurement units accuracy. , 2017, Applied ergonomics.

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

[18]  D. Roetenberg,et al.  Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors , 2009 .

[19]  I. Kingma,et al.  Cumulative Low Back Load at Work as a Risk Factor of Low Back Pain: A Prospective Cohort Study , 2012, Journal of Occupational Rehabilitation.

[20]  R. Norman,et al.  A comparison of peak vs cumulative physical work exposure risk factors for the reporting of low back pain in the automotive industry. , 1998, Clinical biomechanics.

[21]  Idsart Kingma,et al.  Bottom-up estimation of joint moments during manual lifting using orientation sensors instead of position sensors. , 2010, Journal of biomechanics.

[22]  Jack T Dennerlein,et al.  A force plate based method for the calibration of force/torque sensors. , 2012, Journal of biomechanics.

[23]  F. Lötters,et al.  Are changes in mechanical exposure and musculoskeletal health good performance indicators for primary interventions? , 2002, International archives of occupational and environmental health.

[24]  J H van Dieën,et al.  Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system. , 2016, Journal of biomechanics.