Despite the many reviews and research papers on the limitations of surface
electromyography (EMG), there are relatively few that address this issue by considering …

The aim of this paper was to present a review on the role that movement variability (MV)
plays in the analysis of sports movement and in the monitoring of the athlete's skills. MV has …

A variety of biomechanical data are sampled from smooth n-dimensional spatiotemporal
fields. These data are usually analyzed discretely, by extracting summary metrics from …

Variability in quantitative gait data arises from many potential sources, including natural
temporal dynamics of neuromotor control, pathologies of the neurological or …

Background Abnormal beta band activity in the subthalamic nucleus (STN) is known to be
exaggerated in patients with Parkinson's disease, and the amplitude of such activity has …

Principal component analysis is a powerful tool in biomechanics for reducing complex
multivariate datasets to a subset of important parameters. However, interpreting the …

The need for the temporal alignment of gait cycle data is well known; however, there is little
consensus concerning which alignment method to use. In this paper, we discuss the pros …

Gait analysis studies involve continuous curves of data measured over a gait cycle. Curve
analysis and interpretation require adequate statistical methods. Three principal problems …

Time continuous analyses, such as statistical parametric mapping (SPM), have been
increasingly used in biomechanics research to determine differences between populations …

The purpose of this study was to examine the effect of speed on coordination and its
variability in running gait using vector coding analysis. Lower extremity kinematic data were …