Analysing patterns of coordination and patterns of control using novel data visualisation techniques in vector coding

Needham, Robert; Naemi, Roozbeh; Hamill, Joseph; Chockalingam, Nachiappan

doi:10.1016/j.foot.2020.101678

Cited by 20 publications

(24 citation statements)

References 39 publications

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“…Coupling angle mapping was used to profile individual coordination over the first four steps ( Needham et al, 2014 , 2020 ). Thigh-thigh, trunk-shank, and shank-foot segment couplings were assessed with a proximal-distal naming convention.…”

Section: Methodsmentioning

confidence: 99%

“…For the thigh-thigh coupling, the trailing and leading thigh were designated as proximal and distal respectively. Coupling angles (CA) were calculated from angle-angle plots of segment couplings using a modified vector coding approach ( Chang et al, 2008 ; Needham et al, 2014 , 2020 ). The CA represented the vector angle between adjacent points in the angle-angle diagram relative to the right horizontal, expressed as an angle between 0° and 360° ( Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Each quadrant was further divided into two 45° bins based on the dominant segment, i.e. which segment underwent the greatest rotation in a given time period, resulting in eight distinct coordination bins describing the relationship between segment rotations (in-phase or anti-phase), the direction and the dominant segment ( Needham et al, 2020 ; Bezodis et al, 2019a ) ( Fig. 7 B).…”

Section: Methodsmentioning

confidence: 99%

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Inter- and intra-limb coordination during initial sprint acceleration

2022

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In complex movements, centre of mass translation is achieved through effective joint and segment rotations. Understanding segment organisation and coordination is therefore paramount to understanding technique. This study sought to comprehensively describe inter- and intra-limb coordination and assess step-to-step changes and between-individual variation in coordination during initial sprint acceleration. Twenty-one highly trained to world class male (100 m PB 9.89-11.15 s) and female (100 m PB:11.46-12.14 s) sprinters completed sprint trials of at least 20 m from which sagittal plane kinematics were obtained for the first four steps using inertial measurement units (200 Hz). Thigh-thigh, trunk-shank and shank-foot coordination was assessed using a modified vector coding and segment dominancy approach. Common coordination patterns emerged for all segment couplings across sexes and performance levels, suggesting strong task constraints. Between-individual variation in inter-limb thigh coordination was highest in early flight, while trunk-shank and shank-foot variation was highest in late flight, with a second peak in late stance for the trunk-shank coupling. There were clear step-to-step changes in coordination, with step 1 being distinctly different to subsequent steps. The results demonstrate that inter-limb coordination is primarily anti-phase and trailing leg dominant while ankle motion in flight and late stance appears to be primarily driven by the foot.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Inter- and intra-limb coordination during initial sprint acceleration

2022

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“…The CAV during the antecedent swing phase (i.e., ~40% prior to heel strike) was used to quantify the amount of inter-stride variability between two lower-extremity sagittal joint kinematic pairings (hip–knee & knee–foot). To interpret the CAV findings, a coordination profiling technique was employed to examine how the participants utilized feedback to modify their FFCA and to highlight differences between participants in a single-participant design [ 43 , 44 ].…”

Section: Methodsmentioning

confidence: 99%

Reducing Slip Risk: A Feasibility Study of Gait Training with Semi-Real-Time Feedback of Foot–Floor Contact Angle

Zong-Hao

Bao

DiCesare

et al. 2022

Sensors

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Slip-induced falls, responsible for approximately 40% of falls, can lead to severe injuries and in extreme cases, death. A large foot–floor contact angle (FFCA) during the heel-strike event has been associated with an increased risk of slip-induced falls. The goals of this feasibility study were to design and assess a method for detecting FFCA and providing cues to the user to generate a compensatory FFCA response during a future heel-strike event. The long-term goal of this research is to train gait in order to minimize the likelihood of a slip event due to a large FFCA. An inertial measurement unit (IMU) was used to estimate FFCA, and a speaker provided auditory semi-real-time feedback when the FFCA was outside of a 10–20 degree target range following a heel-strike event. In addition to training with the FFCA feedback during a 10-min treadmill training period, the healthy young participants completed pre- and post-training overground walking trials. Results showed that training with FFCA feedback increased FFCA events within the target range by 16% for “high-risk” walkers (i.e., participants that walked with more than 75% of their FFCAs outside the target range) both during feedback treadmill trials and post-training overground trials without feedback, supporting the feasibility of training FFCA using a semi-real-time FFCA feedback system.

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“…Several studies focus on joint and segment kinematics during cycling, and the majority of these studies have used linear analysis methods by considering the kinematics of individual joints rather than addressing the interactions between joints [6][7][8][9][10][11][12][13]. However, the motion of segments subsequently influence each other in a kinematic chain [14], as nonlinear dynamic analysis methods, such as the coordination pattern of joints or segments, recently have suggested to provide a better understanding of the biomechanics of human movement and effectively capture the complexity of the coordinated motion of components of the body [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Intra-Segment Coordination Variability in Road Cyclists during Pedaling at Different Intensities

Mehri

Abbasi

et al. 2020

Applied Sciences

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Background: The purpose of this study is to examine the lower extremity intra-segment coordination and variability of road cyclists during pedaling at different intensities. Methods: Eleven semi-professional road cyclists perform four trials at workloads of 50%, 75%, 100%, and 125% of their maximum power output in a randomized order. Thigh, shank, and foot range of motions (ROM) and the coordination and variability of these segments are compared across different pedaling intensities. Results: Foot ROM in the sagittal plane and shank ROM in the transverse plane are significantly different between different pedaling intensities. Moreover, specific coupling patterns and variabilities are observed across the pedaling cycle; however, they were not significantly different across different pedaling intensities in four pedaling phases. Conclusion: The results highlight the role of knee extensors and plantar flexors during the first and second half of the propulsion phase of pedaling, respectively. Thigh abduction dominancy with faster movement compared to the shank indicates a more valgus stress during the propulsive phase of pedaling, which can increase the risk of overuse injuries in the knee. Moreover, the smaller variability during the transition between the propulsive and recovery phases indicates a reduction in degrees of freedom and may increase the risk of overuse injuries.

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Analysing patterns of coordination and patterns of control using novel data visualisation techniques in vector coding

Cited by 20 publications

References 39 publications

Inter- and intra-limb coordination during initial sprint acceleration

Inter- and intra-limb coordination during initial sprint acceleration

Reducing Slip Risk: A Feasibility Study of Gait Training with Semi-Real-Time Feedback of Foot–Floor Contact Angle

Intra-Segment Coordination Variability in Road Cyclists during Pedaling at Different Intensities

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