Intra-individual trial-to-trial variability is inherent in human movement. 1 – 4 A variety of methods exist to examine movement variability, with greater variable inclusion and time series analyses each considered essential advances in understanding movement control. 5 , 6 Movement coordination
Andrew D. Nordin and Janet S. Dufek
Richard E.A. van Emmerik and Erwin E.H. van Wegen
Current research in biology and physiology has unequivocally demonstrated the significance of variability for the optimal functioning of healthy and adaptable systems. Different pathologies are characterized by reductions in complexity of organization, often signified by loss of variability and adaptability. It is argued that the traditional perspective on biology in general and movement science in particular that tended to associate noise and variability with performance decrements and pathology is no longer tenable. Tools and methodologies that have emerged from the dynamical systems perspective to coordination and control are discussed in the context of postural control and transitions in interlimb coordination and locomotion. First, it is shown that variability can play a functional role in the detection and exploration of stability boundaries during balance control. Second, pattern transitions are characterized by increased variability in movement coordination dynamics. Under conditions of movement pathologies, such as in Parkinson’s disease, reductions in variability in coordination dynamics clearly identify movement coordination and transition problems so characteristic for these patients. It is concluded that the relation between variability and stability is complex and that variability cannot be equated with instability without knowledge of the underlying movement dynamics.
Steve Hansen, Digby Elliott, and Michael A. Khan
The utility of ellipsoids for quantifying central tendency and variability throughout the trajectory of goal-directed movements is described. Aiming movements were measured over 2 days of practice and under full-vision and no-vision conditions. A three-dimensional optoelectronic system measured the movements. Individual ellipsoid locations, dimensions, and volumes were derived from the average location and the spatial variability of the effector’s trajectory at proportional temporal periods throughout the movement. Changes in ellipsoid volume over time illustrate the evolution in motor control that occurred with practice and the processes associated with visual control. This technique has the potential to extend our understanding of limb control and can be applied to practical problems such as equipment design and evaluation of movement rehabilitation.
Denise Jennings, Stuart Cormack, Aaron J. Coutts, Luke J. Boyd, and Robert J. Aughey
To examine the difference in distance measured by two global positioning system (GPS) units of the same model worn by the same player while performing movements common to team sports.
Twenty elite Australian football players completed two trials of the straight line movement (10, 20, 40 m) at four speeds (walk, jog, stride, sprint), two trials of the changes of direction (COD) courses of two different frequencies (gradual and tight), and five trials of a team sport running simulation circuit. To assess inter-unit variability for total and high intensity running (HIR) distance measured in matches, data from eight field players were collected in three Australian Hockey League (AHL) matches during the 2009 season. Each subject wore two GPS devices (MinimaxX v2.5, Catapult, Australia) that collected position data at 5 Hz for each movement and match trial. The percentage difference ±90% confidence interval (CI) was used to determine differences between units.
Differences (±90% CI) between the units ranged from 9.9 ± 4.7% to 11.9 ± 19.5% for straight line running movements and from 9.5 ± 7.2% to 10.7 ± 7.9% in the COD courses. Similar results were exhibited in the team sport circuit (11.1 ± 4.2%). Total distance (10.3 ± 6.2%) and HIR distance (10.3 ± 15.6) measured during the match play displayed similar variability.
It is recommended that players wear the same GPS unit for each exercise session to reduce measurement error. The level of between-unit measurement error should be considered when comparing results from players wearing different GPS units.
Ross H. Miller, Stacey A. Meardon, Timothy R. Derrick, and Jason C. Gillette
Previous research has proposed that a lack of variability in lower extremity coupling during running is associated with pathology. The purpose of the study was to evaluate lower extremity coupling variability in runners with and without a history of iliotibial band syndrome (ITBS) during an exhaustive run. Sixteen runners ran to voluntary exhaustion on a motorized treadmill while a motion capture system recorded reflective marker locations. Eight runners had a history of ITBS. At the start and end of the run, continuous relative phase (CRP) angles and CRP variability between strides were calculated for key lower extremity kinematic couplings. The ITBS runners demonstrated less CRP variability than controls in several couplings between segments that have been associated with knee pain and ITBS symptoms, including tibia rotation–rearfoot motion and rearfoot motion–thigh ad/abduction, but more variability in knee flexion/extension–foot ad/abduction. The ITBS runners also demonstrated low variability at heel strike in coupling between rearfoot motion–tibia rotation. The results suggest that runners prone to ITBS use abnormal segmental coordination patterns, particular in couplings involving thigh ad/abduction and tibia internal/external rotation. Implications for variability in injury etiology are suggested.
Peter F. Vint and Richard N. Hinrichs
Isometric knee extension force and average integrated EMG of the vastus lateralis muscle were obtained from 27 healthy subjects using a maximum effort, ramp and hold protocol. In each of the 125 total trials mat were included in the analysis, a 2-s plateau region was extracted and divided into two adjacent 1000-ms bins. Variability and reliability of bin-to-bin measurements of force and EMG were then evaluated across 14 different integration intervals ranging from 10 to 1000 ms. Statistical analyses of bin-to-bin variability measures demonstrated that integration intervals of 250 ms and longer significantly reduced variability and improved reliability of average integrated EMG values during maximum effort isometric exertions. Bin-to-bin EMG reliability increased from .728 at 10 ms to .991 at 1000 ms. Force parameters appeared less sensitive to changes in length of the integration interval. It was suggested that longer intervals might also improve the validity of the EMG-force relationship during maximum effort isometric exertions by reducing problems associated with electromechanical delay.
Hai-Jung Steffi Shih, Danielle N. Jarvis, Pamela Mikkelsen, and Kornelia Kulig
symmetrical bipedal jumping and landing. The practice of a task leads to acquisition of skill that is reflected in performance and movement variability. Performance variability, representing how much a performance parameter (eg, accuracy or speed) changes between trials, decreases with mastery of skills. On
Adam E. Jagodinsky, Rebecca Angles, Christopher Wilburn, and Wendi H. Weimar
exhibit requisite variability and tradeoff in the lower-extremity joint moment of force patterns, while maintaining relative consistency in the support moment during locomotion. 22 , 26 As such, heightened motor variability may be indicative of a greater propensity for motor adaptability, or contrarily
Jongil Lim, Jiyeon Kim, Kyoungho Seo, Richard E.A. van Emmerik, and Sukho Lee
gait speed, cadence, and stride length as well as increases in stride time and its variability ( Al-Yahya et al., 2011 ). Although walking is one of the most practiced motor skills, the control of walking is not fully automatic, especially when simultaneous cognitive demands are incorporated ( Amboni
Håvard Wiig, Thor Einar Andersen, Live S. Luteberget, and Matt Spencer
individual differences in the response to external load, and finally, to investigate the variability in sRPE-TL that is not explained by external load. Methods Subjects A total of 18 male players from one football team (age 26  y, height 183  cm, body mass 80  kg), participating in the Norwegian