Interest in intersegmental coordination during locomotion (eg, between the low back and pelvis or between foot segments) has continued to increase. 1 – 6 Investigating intersegmental coordination of different types of locomotor movements can provide more insight into the processes used by the
Yumeng Li, Rumit S. Kakar, Marika A. Walker, Li Guan and Kathy J. Simpson
Yumeng Li, Rumit S. Kakar, Marika A. Walker, Yang-Chieh Fu, Timothy S. Oswald, Cathleen N. Brown and Kathy J. Simpson
other potential clinical conditions or injury mechanisms related to SF-AIS (eg, lower back pain, degeneration of discs, etc.). Intersegmental coordination has been investigated using cross-correlation analyses. 16 , 17 The cross-correlation coefficient has been employed to reveal the types of the
Wataru Kawakami, Makoto Takahashi, Yoshitaka Iwamoto and Koichi Shinakoda
gait cycle. 25 , 26 , 28 , 29 To understand the detailed kinematic behavior affected by hallux valgus, the coupling motion in the foot should be evaluated clearly. Modified vector-coding technique may allow us to evaluate this adequately from the perspectives of intersegmental coordination patterns
Danielle N. Jarvis, Jo Armour Smith and Kornelia Kulig
Variability, or how a task changes across trials, may reveal differences between athletes of differing skill levels. The purpose of this study was to examine trunk and lower extremity (LE) single joint kinematic variability and intersegmental coordination variability in dancers and nondancers during bipedal vertical dance jumps (sautés). Twenty healthy females, 10 with no formal dance training and 10 professional dancers, performed 20 consecutive sautés. Single joint kinematic variability was assessed using mean standard deviation of angular displacement, and intersegmental coordination variability was assessed using angular deviation of the coupling angle between segments. Within the context of the standard error of measure, there was no difference in single joint kinematic variability between dancers and nondancers. Intersegmental coordination variability in the trunk was higher than variability in LE couplings for both groups. Dancers had lower intersegmental coordination variability than nondancers for LE sagittal, frontal, and transverse plane couplings, and sagittal plane trunk couplings. Trunk adjustments may be important for successful performance, but lower intersegmental coordination variability in expert dancers indicates a higher level of control. Trunk coordination and postural control may be important factors to investigate in skilled athletes.
David R. Collins, Hyeongsaeng Park and Michael T. Turvey
Von Holst (1939/1973) parsed intersegmental coordination into relative and absolute to distinguish moderate and extreme forms. Kelso and DeGuzman (1992) discussed an interpretation of relative coordination in terms of the chaotic phenomenon of intermittency. The data of concern (DeGuzman & Kelso, 1991) do not, however, exclude a stochastic interpretation, which is detailed here following earlier suggestions. The key difference is modeling relative coordination by stochastic variability about weak attractors rather than by deterministic variability about remnants of attractors (”ghost attractors”). The intermittency interpretation is not robust in the presence of noise and, therefore, is not well disposed to account for uncertainty in detailing a model of behavioral data or its parameters. In contrast, the stochastic interpretation is based upon an approximation of unknown underlying processes in the form of Gaussian white noise. A stochastic method for estimating model parameters from a stationary probability distribution and a mean first passage time is illustrated using experimental and simulated data.
Thomas Korff, Ann H. Newstead, Renate van Zandwijk and Jody L. Jensen
The purpose of this study was to examine the interactions between aging, activity levels and maximal power production during cycling. Participants were divided into younger adults (YA), older active adults (OA,) and older sedentary adults (OS). Absolute maximum power was significantly greater in YA compared with OS and OA; no differences were found between OA and OS. The age-related difference in maximum power was accompanied by greater absolute peak knee extension and knee flexion powers. Relative joint power contributions revealed both age- and activity-related differences. YA produced less relative hip extension power than older adults, regardless of activity level. The OS participants produced less relative knee flexion power than active adults, regardless of age. The results show the age-related decline in muscular power production is joint specific and that activity level can be a modifier of intersegmental coordination, which has implications for designing interventions for the aging population.
Sergio L. Molina and David F. Stodden
developing children may be different from that of adults. Differences in force regulation may be a function of the relative stability of intersegmental coordination among the many degrees of freedom in the throwing patterns of children. Overall, when children are compared with adults, there is greater
Lauren A. Brown, Eric E. Hall, Caroline J. Ketcham, Kirtida Patel, Thomas A. Buckley, David R. Howell and Srikant Vallabhajosula
such a turn. Such strategies include slowing down before turning, reducing the step length and increasing the step width, and displaying altered intersegmental coordination while turning. 44 – 50 Whether such altered kinematics exist during turning gait postconcussion among athletes needs to be
Eric Foch and Clare E. Milner
freedom of intersegmental coordination patterns. 14 Over the course of many miles run, runners who exhibit lower coordination variability and complexity may place repetitive abnormal stresses on the iliotibial band. Conversely, more variability may indicate a lack of limits placed on coordination. 15
Raúl Reina, Aitor Iturricastillo, Rafael Sabido, Maria Campayo-Piernas and Javier Yanci
differences between functional classes in HJs than VJs. Therefore, the HJs could be more valid to discriminate among functional classes. Because HJs imply not only strength and power capacity when jumping, but also intersegmental coordination and stability during the braking phase having to avoid going