Video based lifting technique coding system

Hsiang, Simon M.; Brogmus, George E.; Martin, Susan E.; Bezverkhny, Ilya

doi:10.1080/001401398187017

Cited by 26 publications

(26 citation statements)

References 20 publications

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“…These methods provided acceptable kinematic accuracy (Neumann et al, 2001;Chang et al, 2010;Xu et al, in press). Furthermore, quasi-static biomechanical calculation using these kind of models showed small but significant errors in peak (Hsiang et al, 1998;Chang et al, 2003) and cumulative (Sutherland et al, 2008) lumbar compression forces.…”

Section: Introductionmentioning

confidence: 98%

“…load distances) was shown to provide reasonable estimates of low back loads during lifting, although systematic underestimation of loads occurred, possibly due to neglecting segment dynamics . Other efforts focused on video analysis methods (Hsiang et al, 1998;Chang et al, 2003;Sutherland et al, 2008;Xu et al, in press) by assessing body orientations based on observations of selected key video frames. These methods provided acceptable kinematic accuracy (Neumann et al, 2001;Chang et al, 2010;Xu et al, in press).…”

Section: Introductionmentioning

confidence: 99%

“…Segment orientations were based on crude categorizations (Hsiang et al, 1998;Sutherland et al, 2008), segment dynamics were not taken into account (Sutherland et al, 2008) or only movements in the sagittal plane could be determined (Chang et al, 2003;. Therefore, better posture matching strategies should be investigated.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of low back moments from video analysis: A validation study

Coenen

Kingma

Boot³

et al. 2011

Journal of Biomechanics

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This study aimed to develop, compare and validate two versions of a video analysis method for assessment of low back moments during occupational lifting tasks since for epidemiological studies and ergonomic practice relatively cheap and easily applicable methods to assess low back loads are needed. Ten healthy subjects participated in a protocol comprising 12 lifting conditions. Low back moments were assessed using two variants of a video analysis method and a lab-based reference method. Repeated measures ANOVAs showed no overall differences in peak moments between the two versions of the video analysis method and the reference method. However, two conditions showed a minor overestimation of one of the video analysis method moments. Standard deviations were considerable suggesting that errors in the video analysis were random. Furthermore, there was a small underestimation of dynamic components and overestimation of the static components of the moments. Intraclass correlations coefficients for peak moments showed high correspondence (>0.85) of the video analyses with the reference method. It is concluded that, when a sufficient number of measurements can be taken, the video analysis method for assessment of low back loads during lifting tasks provides valid estimates of low back moments in ergonomic practice and epidemiological studies for lifts up to a moderate level of asymmetry.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Estimation of low back moments from video analysis: A validation study

Coenen

Kingma

Boot³

et al. 2011

Journal of Biomechanics

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“…The position of cameras and their spatial orientation remain unchanged during the study. Any relocation of the cameras required recalibration [34]. Each patient was instructed to walk on the walkway bare feet and at what he/ she considered to be a natural or comfortable walking speed (self-selected speed) [35].…”

Section: Nevein Mohammed Gharib Rabab Ali Mohamed Isokinetic Strengmentioning

confidence: 99%

Isokinetic Strength Training in Patients With Stroke: Effects on Muscle Strength, Gait and Functional Mobility

Gharib¹,

Mohamed²

2017

IJPR

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Background: Muscle weakness in the lower limbs has adverse effects on walking performance and functional mobility in patients with stroke. Therefore, interventions aiming to improve muscle strength post stroke are considered crucial part of stroke rehabilitation.Objective: To determine the effectiveness of isokinetic strength training for knee and ankle muscles of the affected side on muscle strength, gait and functional mobility in chronic stroke. Materials and Methods:Thirty patients with stroke of both sexes (46-62 years) shared in this study. They were randomly assigned into two equal groups; experimental and control groups. Patients in the experimental group received a traditional physical therapy program in addition to isokinetic training for knee and ankle muscles in the affected side. Those in the control group received only the traditional physical therapy. Treatment was provided three times per week for eight successive weeks. The participants received pre and post-treatment assessments for the peak torque of the trained muscles, gait parameters and functional mobility as measured by the Timed Up and Go (TUG) test.Results: Patients in both groups showed significant improvement post treatment in peak torque of knee and ankle muscles, gait parameters and TUG test (p<0.05). Additionally, after the intervention, between-group comparison revealed significant difference for peak torque of both knee and ankle muscles (p<0.05), walk speed (t=2.44, p=0.02), gait cycle time (t=-3.43, p=0.002), single limb support (t=3.58, p=0.001) and TUG test (t=-3.45, p=0.002) in favor of the experimental group.Conclusion: Isokinetic strength training of the affected lower limb muscles in conjunction with proper physical therapy exercise program is effective in improving muscle strength, walking performance and functional mobility in patients with stroke.

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“…Tedious digitization and complex motion analysis is then performed, which often makes the practitioner hesitate to use the biomechanical analysis. A user-friendly biomechanical data collection and analysis technique is needed to increase the field application usefulness of the approach 8) . Nonetheless, if the biomechanical analysis can be carried out with simple videotaping device, the analysis can be simplified, and the result can be used to indicate the physical stress with respect to a person's capacity, the approach is still a valuable tool for ergonomists to evaluate the job and workplace.…”

Section: Introductionmentioning

confidence: 99%

A Field Evaluation Method for Assessing Whole Body Biomechanical Joint Stress in Manual Lifting Tasks

2006

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Work-related musculoskeletal injuries are often associated with overexertion of the body at work. The manual materials handling activity of lifting is a major source of work-related musculoskeletal disorders. Biomechanical evaluation offers useful information about the physical stress imposed on the worker's body joints; however, biomechanical analysis is usually tedious and complex. For evaluation purpose, the biomechanical method needs to be easy to apply in a field environment. Manual lifting occurs as one of the most common manual materials handling tasks in the workplace. A biomechanical evaluation method was developed based on the ratio of joint moment to joint capacity. The method was applied to evaluate the physical stress of manual lifting in truck loading jobs using a nine-link whole body joint model. Thirty eight industrial tasks were evaluated using the developed joint moment ratio. The moment ratio was compared with subjectively rated body discomfort, overall workload, and the NIOSH lifting index. The moment ratio was found to have a high correlation with the NIOSH lifting index. The biomechanical method can be used with relatively simple equipment and procedure which may be suitable for on-site ergonomic evaluation.

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Video based lifting technique coding system

Cited by 26 publications

References 20 publications

Estimation of low back moments from video analysis: A validation study

Estimation of low back moments from video analysis: A validation study

Isokinetic Strength Training in Patients With Stroke: Effects on Muscle Strength, Gait and Functional Mobility

A Field Evaluation Method for Assessing Whole Body Biomechanical Joint Stress in Manual Lifting Tasks

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