Towards methodology and metrics for assessing lumbar exoskeletons in industrial applications

Lumbar exoskeletons have the potential to reduce work-related musculoskeletal disorders and injuries in workers performing repetitive manual handling tasks. For a wide adoption of exoskeletons in industrial workplaces the definition of methodologies and metrics is crucial. In this paper, we present an overview of evaluation methods and metrics from state-of-the-art studies and propose a set of suitable evaluation tests and metrics to evaluate lumbar exoskeletons.

[1]  Ville M. Mattila,et al.  Orthotic insoles do not prevent physical stress-induced low back pain , 2010, European Spine Journal.

[2]  Frank Krause,et al.  Exoskeletons for industrial application and their potential effects on physical work load , 2016, Ergonomics.

[3]  Joan M Stevenson,et al.  The effect of on-body lift assistive device on the lumbar 3D dynamic moments and EMG during asymmetric freestyle lifting. , 2008, Clinical biomechanics.

[4]  Lorenzo Grazi,et al.  A Low-Back Exoskeleton can Reduce the Erector Spinae Muscles Activity During Freestyle Symmetrical Load Lifting Tasks , 2018, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob).

[5]  Andrea Parri,et al.  Physical human-robot interaction of an active pelvis orthosis: toward ergonomic assessment of wearable robots , 2017, Journal of NeuroEngineering and Rehabilitation.

[6]  Idsart Kingma,et al.  Effects of a passive exoskeleton on the mechanical loading of the low back in static holding tasks. , 2019, Journal of biomechanics.

[7]  Joan M Stevenson,et al.  PLAD (personal lift assistive device) stiffness affects the lumbar flexion/extension moment and the posterior chain EMG during symmetrical lifting tasks. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[8]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[9]  Michael J Agnew,et al.  The effect of an on-body personal lift assist device (PLAD) on fatigue during a repetitive lifting task. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[10]  M. de Looze,et al.  Assessment of an active industrial exoskeleton to aid dynamic lifting and lowering manual handling tasks. , 2018, Applied Ergonomics.

[11]  Lorenzo Grazi,et al.  A Real-Time Lift Detection Strategy for a Hip Exoskeleton , 2018, Front. Neurorobot..

[12]  Lorenzo Grazi,et al.  Lift Movement Detection with a QDA Classifier for an Active Hip Exoskeleton , 2018 .

[13]  Sultan Thoail Al-Otaibi.  Prevention of Occupational Back Pain: Saudi Aramco Experience , 2007 .

[14]  Birger Jettkant,et al.  Effectiveness of an on-body lifting aid (HAL® for care support) to reduce lower back muscle activity during repetitive lifting tasks , 2019, Journal of Clinical Neuroscience.

[15]  G. Borg.  Psychophysical scaling with applications in physical work and the perception of exertion. , 1990, Scandinavian journal of work, environment & health.

[16]  B D Kaplansky,et al.  Prevention strategies for occupational low back pain. , 1998, Occupational medicine.

[17]  R. Deyo,et al.  The effectiveness of four interventions for the prevention of low back pain. , 1994, JAMA.

[18]  M. de Looze,et al.  The effects of a passive exoskeleton on muscle activity, discomfort and endurance time in forward bending work. , 2016, Applied ergonomics.

[19]  L M Bouter,et al.  Lumbar Supports for Prevention and Treatment of Low Back Pain: A Systematic Review Within the Framework of the Cochrane Back Review Group , 2001, Spine.

[20]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .

[21]  Richard P Wells,et al.  The effects of job rotation on the risk of reporting low back pain , 2003, Ergonomics.

[22]  C. R. Guerrero,et al.  Using psychophysiological feedback to enhance physical human robot interaction in a cooperative scenario , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[23]  A. Woolf,et al.  Burden of major musculoskeletal conditions. , 2003, Bulletin of the World Health Organization.

[24]  Lorenzo Grazi,et al.  Classification of Lifting Techniques for Application of A Robotic Hip Exoskeleton , 2019, Sensors.

[25]  Rachelle Buchbinder,et al.  The global burden of low back pain: estimates from the Global Burden of Disease 2010 study , 2014, Annals of the rheumatic diseases.

[26]  Chris G Maher,et al.  Prevention of Low Back Pain: A Systematic Review and Meta-analysis. , 2016, JAMA internal medicine.

[27]  Daniel P. Ferris,et al.  A Biomechanical Comparison of Proportional Electromyography Control to Biological Torque Control Using a Powered Hip Exoskeleton , 2017, Front. Bioeng. Biotechnol..

[28]  Lorenzo Grazi,et al.  Gastrocnemius Myoelectric Control of a Robotic Hip Exoskeleton Can Reduce the User's Lower-Limb Muscle Activities at Push Off , 2018, Front. Neurosci..