Load knowledge affects low-back loading and control of balance in lifting tasks

Commissaris, D.A.C.M.; Toussaint, H.M.

doi:10.1080/001401397188035

Cited by 67 publications

(46 citation statements)

References 23 publications

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“…A memorized representation of that balance, derived from the previous lifting movement, could be used to accomplish that adjustment. In support of that possibility, Commissaris and Toussaint (1997a) have shown that information obtained in previous lifts is used in scaling anticipatory actions. The use of a memorized representation, therefore, involves central control.…”

Section: Effects Of Repetitive Lifting Onmentioning

confidence: 82%

Effects of Repetitive Lifting on Kinematics: Inadequate Anticipatory Control or Adaptive Changes?

Dieën

Burg

Raaijmakers

et al. 1998

Journal of Motor Behavior

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Section: Effects Of Repetitive Lifting Onmentioning

confidence: 82%

Effects of Repetitive Lifting on Kinematics: Inadequate Anticipatory Control or Adaptive Changes?

Dieën

Burg

Raaijmakers

et al. 1998

Journal of Motor Behavior

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“…For instance, researchers examining trunk musculature activation during occupational lifting found greater EMG responses when loads were unexpectedly altered prior to the lift when compared to lifts in which the load magnitude was known (De Looze et al 2000;Shapiro et al 2002). In addition, lifts were likely to be completed more rapidly if the load characteristics were not known (or incorrectly judged) during the preparation for a lift (Commisaris and Toussaint 1997). The effect of altered muscle activation (EMG responses) produced by uncertainty are speculated to result from the lack of knowledge causing an overestimation of the load, increasing the likelihood that the lifter applies a larger-than-necessary force to move the real load (Commisaris and Toussaint 1997).…”

Section: Introductionmentioning

confidence: 99%

Load knowledge reduces rapid force production and muscle activation during maximal-effort concentric lifts

et al. 2015

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“…Lumbar loading during lifting has been analyzed using force plates and optical 3-D movement analysis system in combination with biomechanical models [3], [17], [18]. More recently, a combination of electromyography (EMG), inertial sensor measurements of body movements and biomechanical modeling, was proposed for estimating lumbar loading, without actually measuring the mechanical interaction with the load or the ground [19].…”

mentioning

confidence: 99%

Sensing Power Transfer Between the Human Body and the Environment

Veltink

Kortier

Schepers

2009

IEEE Trans. Biomed. Eng.

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Abstract-The power transferred between the human body and the environment at any time and the work performed are important quantities to be estimated when evaluating and optimizing the physical interaction between the human body and the environment in sports, physical labor, and rehabilitation. It is the objective of the current paper to present a concept for estimating power transfer between the human body and the environment during free motions and using sensors at the interface, not requiring measurement systems in the environment, and to experimentally demonstrate this principle. Mass and spring loads were moved by hand over a fixed height difference via varying free movement trajectories. Kinematic and kinetic quantities were measured in the handle between the hand and the load. 3-D force and moments were measured using a 6 DOF force/moment sensor module, 3-D movement was measured using 3-D accelerometers and angular velocity sensors. The orientation was estimated from the angular velocity, using the initial orientation as a begin condition. The accelerometer signals were expressed in global coordinates using this orientation information. Velocity was estimated by integrating acceleration in global coordinates, obtained by adding gravitational acceleration to the accelerometer signals. Zero start and end velocities were used as begin and end conditions. Power was calculated as the sum of the inner products of velocity and force and of angular velocity and moment, and work was estimated by integrating power over time. The estimated performed work was compared to the potential energy difference corresponding to the change in height of the loads and appeared to be accurate within 4% for varying movements with net displacements and varying loads (mass and spring). The principle of estimating power transfer demonstrated in this paper can be used in future interfaces between the human body and the environment instrumented with body-mounted miniature 3-D force and acceleration sensors.

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Load knowledge affects low-back loading and control of balance in lifting tasks

Cited by 67 publications

References 23 publications

Effects of Repetitive Lifting on Kinematics: Inadequate Anticipatory Control or Adaptive Changes?

Effects of Repetitive Lifting on Kinematics: Inadequate Anticipatory Control or Adaptive Changes?

Load knowledge reduces rapid force production and muscle activation during maximal-effort concentric lifts

Sensing Power Transfer Between the Human Body and the Environment

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