After the Temporal Lifting Technique – What comes next?

2021 ◽  
Author(s):  
Claudia A. Hernandez ◽  
Carolina Schneider ◽  
Michael H. Gold ◽  
Mariana Muniz ◽  
Jeremy B. Green ◽  
...  
Keyword(s):  
Lifting Technique

Lifting Physical Work Capacity as a Function of Frequency

1987 ◽  
Vol 31 (12) ◽  
pp. 1331-1335
Author(s):  
Jeffrey E. Fernandez ◽  
Robert J. Marley ◽  
Nancy B. Stubbs
Keyword(s):  
Laboratory Experiment ◽  
Work Capacity ◽  
Task Design ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Frequency Range ◽  
Lifting Technique ◽  
Male Subjects

A laboratory experiment using 15 male subjects was conducted to document lifting physical work capacity over the frequency range of 2 to 12 lifts per minute and to compare these values to bicycling physical work capacity. Results indicate that bicycling PWC is significantly higher than lifting PWC at the 0.05 level. A variation in lifting PWC as a function of frequency was observed. This could be attributed to lifting technique. Task design should, therefore, not only consider lifting PWC but also the frequency of lift.

Dynamic analysis of isoinertial lifting technique

Ergonomics ◽  
1990 ◽  
Vol 33 (2) ◽  
pp. 161-172 ◽  
Author(s):  
J. M. STEVENSON ◽  
J. T. BRYANT ◽  
S. L. FRENCH ◽  
D. R. GREENHORN ◽  
G. M. ANDREW ◽  
...  
Keyword(s):  
Dynamic Analysis ◽  
Lifting Technique

Are there differences in lifting technique between those with and without low back pain? A systematic review

2020 ◽  
Vol 20 (2) ◽  
pp. 215-227
Author(s):  
David Nolan ◽  
Kieran O’Sullivan ◽  
Chris Newton ◽  
Gurpreet Singh ◽  
Benjamin E. Smith
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Muscle Activity ◽  
Meta Analysis ◽  
Low Back ◽  
Case Control Studies ◽  
Cross Sectional ◽  
Lifting Technique ◽  
Manual Handling ◽  
Free People

AbstractBackground and aimsTo systemically review the literature to compare freestyle lifting technique, by muscle activity and kinematics, between people with and without low back pain (LBP).MethodsFive databases were searched along with manual searches of retrieved articles by a single reviewer. Studies were included if they compared a freestyle lifting activity between participants with and without LBP. Data were extracted by two reviewers, and studies were appraised using the CASP tool for case-control studies.ResultsNine studies were eligible. Heterogeneity did not allow for meta-analysis. Most studies (n = 8 studies) reported that people with LBP lift differently to pain-free controls. Specifically, people with LBP lift more slowly (n = 6 studies), use their legs more than their back especially when initiating lifting (n = 3 studies), and jerk less during lifting (n = 1 studies). Furthermore, the four larger studies involving people with more severe LBP also showed that people with LBP lift with less spinal range of motion and greater trunk muscle activity for a longer period.ConclusionsPeople with LBP move slower, stiffer, and with a deeper knee bend than pain-free people during freestyle lifting tasks. Interestingly, such a lifting style mirrors how people, with and without LBP, are often told how to lift during manual handling training. The cross-sectional nature of the comparisons does not allow for causation to be determined.ImplicationsThe changes described may show embodiment of cautious movement, and the drive to protect the back. There may be value in exploring whether adopting a lifting style closer to that of pain-free people could help reduce LBP.

Determining Maximum Sample Period Under Performance Constraints for Sampled-Data Control Systems

2009 ◽  
Author(s):  
Jie Ma ◽  
George T.-C. Chiu
Keyword(s):  
Control System ◽  
Control Systems ◽  
High Performance ◽  
Systems Design ◽  
Sample Period ◽  
Sampled Data ◽  
Lifting Technique ◽  
Data Control ◽  
Sampled Data Control ◽  
Sample Rate

For sampled-data control systems, where a continuous-time plant is under digital control, one of the most important design parameter is the sample rate/period. Higher sample rate typically is associated with the need of high performance components and processors that results in higher system cost. In this paper, we propose an approach to determine the slowest sample rate for a sampled-data control system that will achieve the desired performance and robustness specifications. An optimization problem can be formulated using lifting technique to parameterize sample period for a sampled-data control system. The utility of the proposed approach is numerically verified through the control systems design of the media advance system of an inkjet printer.

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