, movement quality is better assessed over an entire cycle. One method for comparing coordination over an entire movement sequence is using statistical parametric mapping (SPM). 12 – 14 SPM is based on random field theory and calculates a critical threshold for each test, taking into account both the
Cherice N. Hughes-Oliver, Kathryn A. Harrison, D.S. Blaise Williams III and Robin M. Queen
Ben Langley, Nick Knight and Stewart C. Morrison
studies have compared discrete variables extracted from stance phase kinematics between healthy and MTSS or injured populations. More advanced statistical methods, such as statistical parametric mapping (SPM), enable the comparison of kinematic waveforms, in turn providing a more in-depth comparison of
Roel De Ridder, Tine Willems, Jos Vanrenterghem, Ruth Verrelst, Cedric De Blaiser and Philip Roosen
taped and nontaped condition, a curve analysis by means of 1-dimensional statistical parametric mapping was performed. Statistical parametric mapping allows the calculation of the traditional t statistics over the entire normalized time series. For this analysis, paired sample t tests were performed
Samuel J. Callaghan, Robert G. Lockie, Walter Yu, Warren A. Andrews, Robert F. Chipchase and Sophia Nimphius
> 0.8 a large effect. 10 Statistical parametric mapping (SPM) was used to evaluate if significant changes in GRF occurred at any point during the force–time curve. An SPM 2-tailed repeated-measures analysis of variance F test was performed on the normalized time series data from FFC for vertical GRF
Todd C. Pataky, Greg P. Slota, Mark L. Latash and Vladimir M. Zatsiorsky
During power grasp, the number of local force maxima reflects either the central nervous system’s preferential use of particular hand regions, or anatomical constraints, or both. Previously, both bimodal and trimodal force maxima have been hypothesized for power grasp of a cylindrical handle. Here we measure the number of local force maxima, with a resolution of 4.8°, when performing pushing and pulling efforts in the plane perpendicular to the cylinder’s long axis. Twelve participants produced external forces to eight targets. The number of contacts was defined as the number of local maxima exceeding background variance. A minimum of four and a maximum of five discrete contacts were observed in all subjects at the distal phalanges and metacarpal heads. We thus reject previous hypotheses of bimodal or trimodal force control for cylindrical power grasping. Since we presently observed only 4–5 contacts, which is rather low considering the hand’s kinematic flexibility in the flexion plane, we also reject hypotheses of continuous contact, which are inherent to current grasping taxonomy. A modification to current grasping taxonomy is proposed wherein power grasp contains separate branches for continuous and discrete contacts, and where power and precision grasps are distinguished only by grasp manipulability.
Niels J. Nedergaard, Mark A. Robinson, Elena Eusterwiemann, Barry Drust, Paulo J. Lisboa and Jos Vanrenterghem
To investigate the relationship between whole-body accelerations and body-worn accelerometry during team-sport movements.
Twenty male team-sport players performed forward running and anticipated 45° and 90° side-cuts at approach speeds of 2, 3, 4, and 5 m/s. Whole-body center-of-mass (CoM) accelerations were determined from ground-reaction forces collected from 1 foot–ground contact, and segmental accelerations were measured from a commercial GPS accelerometer unit on the upper trunk. Three higher-specification accelerometers were also positioned on the GPS unit, the dorsal aspect of the pelvis, and the shaft of the tibia. Associations between mechanical load variables (peak acceleration, loading rate, and impulse) calculated from both CoM accelerations and segmental accelerations were explored using regression analysis. In addition, 1-dimensional statistical parametric mapping (SPM) was used to explore the relationships between peak segmental accelerations and CoM-acceleration profiles during the whole foot–ground contact.
A weak relationship was observed for the investigated mechanical load variables regardless of accelerometer location and task (R 2 values across accelerometer locations and tasks: peak acceleration .08–.55, loading rate .27–.59, and impulse .02–.59). Segmental accelerations generally overestimated whole-body mechanical load. SPM analysis showed that peak segmental accelerations were mostly related to CoM accelerations during the first 40–50% of contact phase.
While body-worn accelerometry correlates to whole-body loading in team-sport movements and can reveal useful estimates concerning loading, these correlations are not strong. Body-worn accelerometry should therefore be used with caution to monitor whole-body mechanical loading in the field.
2019 35 6 370 376 10.1123/jab.2019-0069 jab.2019-0069 Statistical Parametric Mapping as a Measure of Differences Between Limbs: Applications to Clinical Populations Cherice N. Hughes-Oliver * Kathryn A. Harrison * D.S. Blaise Williams III * Robin M. Queen * 1 12 2019 35 6 377 387 10.1123/jab
Kevin Deschamps, Giovanni Matricali, Maarten Eerdekens, Sander Wuite, Alberto Leardini and Filip Staes
analyzed with the Wilcoxon signed-rank test. The presence of significant differences between the kinetic waveforms from the RFS and the MFS trials were assessed with 1D statistical parametric mapping (SPM). The advantage of the 1D SPM analysis is that it avoids discretization of continuous data (waveforms
Daniel C. McFarland, Alexander G. Brynildsen and Katherine R. Saul
constraints). Statistical parametric mapping (SPM) t tests 27 , 28 were used to determine differences from default condition (no EMG and no force constraint) in postural dependence of outcome over thoracohumeral elevation. Due to the exploratory nature of the study, we did not adjust α for multiple
Sarah C. Moudy, Neale A. Tillin, Amy R. Sibley and Siobhán Strike
, 37 waveforms. There is no clear consensus on the most appropriate reduction of these loading waveforms to assess overloading associated with joint degeneration. Statistical parametric mapping is an approach that analyzes a waveform in its original temporal-spatial format 38 to remove the bias from