Changes in movement variability and task performance during a fatiguing repetitive pointing task

Yang, Chen; Bouffard, Jason; Srinivasan, Divya; Ghayourmanesh, Shaheen; Cantú, Hiram A.; Begon, Mickaël; Côté, Julie N.

doi:10.1016/j.jbiomech.2018.05.025

Cited by 49 publications

(47 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Trunk-pelvis, shoulder and elbow kinematics were calculated using Euler angles according to International Society of Biomechanics recommendations [26]. The coordination between shoulder and elbow, shoulder and trunk was assessed using the continuous relative phase (CRP) as described in Yang et al [18], Hamill et al [27]. Specifically, the phase angle of one joint was calculated for any time point in one cycle as Hamill et al [27].…”

Section: Methodsmentioning

confidence: 99%

“…standard deviation) of the coordination is believed to reveal flexibility of the movement pattern and of task execution [17]. Recently, we investigated the CRP and its variability across repeated movements, using CRP standard deviation, between shoulder and elbow motion in a prolonged pointing task [16, 18]. Results showed that with fatigue, coordination variability (CRP standard deviation) increased while the endpoint variability was maintained.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effects of different fatigue locations on upper body kinematics and inter-joint coordination in a repetitive pointing task

2019

Self Cite

View full text Add to dashboard Cite

Studies have shown that muscle fatigue can lead to posture, joint angle, inter-joint coordination and variability alterations. However, the three-dimensional kinematic effects of localized muscular fatigue on a multijoint movement remain unclear. Healthy young adults (N = 17, 10 females) performed a standing repetitive pointing task when they were non-fatigued, and after localized muscle fatigue was induced at the elbow, the shoulder, and the trunk using isometric protocols performed until exhaustion. Joint angles and angular standard deviation (SD) of trunk, shoulder and elbow, and continuous relative phase (CRP) and CRP SD between trunk and shoulder, and shoulder and elbow were computed and compared between fatigue conditions. Results showed that trunk lateral flexion SD increased after fatigue of the elbow (0.1°, p = 0.04), shoulder (0.1°, p = 0.04) and trunk (0.1°, p<0.01). However, fatigue at different muscles brought different kinematic changes. Shoulder fatigue induced the greatest overall changes, with angular changes at all three joints. Trunk fatigue increased the shoulder horizontal abduction SD, elbow flexion SD and trunk-shoulder CRP. Elbow fatigue induced angular changes at trunk, shoulder and elbow, but did not affect CRP or CRP SD. This study highlights the crucial role of trunk variability in compensating for localized muscle fatigue during a repetitive upper limb task performed while standing.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of different fatigue locations on upper body kinematics and inter-joint coordination in a repetitive pointing task

2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…The Borg CR10 Scale (Borg, 1998) which varies from 0 (no effort at all) to 10 (the hardest exercise ever made) was asked every minute, to monitor perceived exertion. Stopping criteria of the fatigue trials were similar to those defined in Yang et al (2018): (i) Borg number reached 9/10, (ii) three consecutive fails in reaching the target zone, (iii) after 30, 20, 15, and 10 min for the first, second, third, and fourth exercise of fatigue, respectively. The participants were not aware of these criteria.…”

Section: Experimental Partmentioning

confidence: 99%

“…This is probably due to motor variability as movement is reorganized to prevent the apparition of disorders. In that sense, spatiotemporal muscular recruitment is variable after fatigue, which is assessed here (Falla and Farina, 2007;Srinivasan and Mathiassen, 2012;Yang et al, 2018). This method enables to study the evolution of each parameters and compensations made by participants for a case-by-case study, which is essential for example in personalized top-level athletes training.…”

Section: Intra-participant Follow-upmentioning

confidence: 99%

Central and Peripheral Shoulder Fatigue Pre-screening Using the Sigma–Lognormal Model: A Proof of Concept

Laurent

Plamondon

Begon

2020

Front. Hum. Neurosci.

View full text Add to dashboard Cite

Background: Clinical tests for detecting central and peripheral shoulder fatigue are limited. The discrimination of these two types of fatigue is necessary to better adapt recovery intervention. The Kinematic Theory of Rapid Human Movements describes the neuromotor impulse response using lognormal functions and has many applications in pathology detection. The ideal motor control is modeled and a change in the neuromuscular system is reflected in parameters extracted according to this theory. Objective: The objective of this study was to assess whether a shoulder neuromuscular fatigue could be detected through parameters describing the theory, if there is the possibility to discriminate central from peripheral fatigue, and which handwriting test gives the most relevant information on fatigue. Methods: Twenty healthy participants performed two sessions of fast stroke handwriting on a tablet, before and after a shoulder fatigue. The fatigue was in internal rotation for one session and in external rotation during the other session. The drawings consisted of simple strokes, triangles, horizontal, and vertical oscillations. Parameters of these strokes were extracted according to the Sigma-Lognormal model of the Kinematic Theory. The evolution of each participant was analyzed through a U-Mann-Whitney test for individual comparisons. A Hotelling's T 2-test and a U-Mann-Whitney test were also performed on all participants to assess the group evolution after fatigue. Moreover, a correlation among parameters was calculated through Spearman coefficients to assess intrinsic parameters properties of each handwriting test. Results: Central and peripheral parameters were statistically different before and after fatigue with a possibility to discriminate them. Participants had various responses to fatigue. However, when considering the group, parameters related to the motor program execution showed significant increase in the handwriting tests after shoulder fatigue. The test of simple strokes permits to know more specifically where the fatigue comes from, whereas the oscillations tests were the most sensitive to fatigue.

show abstract

“…causes changes in movement variability and decreases the capability of humans to perform a smooth and controlled motion (Cortes, Onate, & Morrisson, 2014;Yang et al, 2018). To prevent MSDs in repetitive tasks, the current recommended ergonomic intervention is to decrease the similarity of working motion, that is, to increase movement variability (Mathiassen, 2006).…”

mentioning

confidence: 99%

A novel method to calculate the anomaly score of movement variability of repetitive tasks

Hiranai

Kuramoto

Seo

2020

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

This study proposes a new calculation method for the anomaly score of repetitive tasks based on singular spectrum transformation (SST) that accounted for a longterm history of human motion. To validate the efficacy of the proposed method, the calculated anomaly score was compared with movement variability computed by a traditional method and to its SST-computed score. Eleven male participants performed repetitive lightweight material handling tasks under different work conditions and an electromagnetic tracking system measured their working posture. Movement variability and anomaly score on the shoulder and elbow joints were calculated based on measured working postures. The movement variability on the elbow flexion angle increased with time. In contrast, the anomaly score of the elbow flexion angle decreased with time, but shoulder flexion and inner rotation angles showed increased scores with the passage of time. These findings are similar to those of previous studies that stated that movement variability increased from redundant degrees of freedom available for performing multi-joint movements; this occurred due to the development of muscle fatigue on the shoulder joint from performing repetitive tasks. On comparing this to the anomaly scores calculated by conventional SST, it was observed that the score computed by the proposed method reflected the whole trend of human motion in repetitive tasks and did not depend on local problems in working posture. Therefore, it was concluded that the new method of calculating the anomaly score is more suitable to detect changes in movement variability in repetitive tasks.

show abstract

Changes in movement variability and task performance during a fatiguing repetitive pointing task

Cited by 49 publications

References 39 publications

Effects of different fatigue locations on upper body kinematics and inter-joint coordination in a repetitive pointing task

Effects of different fatigue locations on upper body kinematics and inter-joint coordination in a repetitive pointing task

Central and Peripheral Shoulder Fatigue Pre-screening Using the Sigma–Lognormal Model: A Proof of Concept

A novel method to calculate the anomaly score of movement variability of repetitive tasks

Contact Info

Product

Resources

About