Acta Universitatis Carolinae Kinanthropologica (AUC Kinanthropologica) is an international peer reviewed journal for the publication of research outcomes in the humanities, the social sciences and the natural sciences, as applied to kinathropology. It is a multidisciplinary journal accepting only original unpublished articles in English in the various sub-disciplines and related fields of kinanthropology, such as Anthropology, Anthropomotorics, Sports Pedagogy, Sociology of Sport, Philosophy of Sport, History of Sport, Physiology of Sport And Exercise, Physical Education, Applied Physical Education, Physiotherapy, Human Biomechanics, Psychology of Sport, Sports Training and Coaching, Sport Management, etc. The journal also welcomes interdisciplinary articles. The journal also includes reports of relevant activities and reviews of relevant publications.
The journal is abstracted and indexed by CNKI, DOAJ, EBSCO, ERIH PLUS, SPOLIT, SPORTDiscus, and Ulrichsweb.
AUC KINANTHROPOLOGICA, Vol 55 No 2 (2019), 78–85
Options for studying human motion: neurophysiological program sLORETA
Dominika Dvořáčková, David Pánek, Dagmar Pavlů
DOI: https://doi.org/10.14712/23366052.2019.7
published online: 21. 11. 2019
abstract
Evaluation of motions is the basis for the diagnosis of human locomotor system disorders. Analyses are usually focused on the performance components of this system, i.e. on the skeleton and muscles. However, where comprehensive diagnosis is to be obtained, the motor system must be evaluated as a whole, without omitting any of its parts. So, evaluation of the control function is very important to body motion evaluation. The method that is normally used to evaluate the activity of brain is electroencephalography, which is superior to other brain activity-evaluating methods in many respects. However, EEG has also a major drawback, namely, it cannot precisely locate the activated and deactivated brain regions. This drawback can be avoided by using the sLORETA neurophysiological program, a tool that can transform EEG data to 3D brain images and finding application across a wide range of clinical branches of medicine – neurology, neurophysiology, psychiatry, physiotherapy and also in sports.
keywords: motion evaluation; EEG; sLORETA; physiotherapy; rehabilitation; EMG; kinematic analysis
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