This study aims to demonstrate the use of a digital video analysis method to evaluate harmonicity of running gait, through an holistic approach. Furthermore, it explores the association of running gait harmonicity with running velocity and level of training and with running injuries risk .
Aetiology of running related injuries is reported to be multifactorial but still not fully understood. Factors that impede the understanding of the mechanisms and aetiology of injury are the traditional segmental approach to the analysis of running gait and the lack of prospective studies. A more holistic approach to analysis of movement could permit a more in depth comprehension of the injured state, trough a changing of point of view. This holistic approach is based on the harmonic nature of running gait. Despite the everyday use of the term "harmonicity" within sporting domains, methods to measure running gait harmonicity is a theme still vaguely explored. Traditional methods evaluate the movement quality of the whole body based on the motion analysis of specific segments, that are supposed to sufficiently represent the entire body. The search for a method to analyse harmonicity of cyclic movements with a real holistic approach, is therefore still open. With these aims, an innovative video analysis method has been proposed, based on the measure of the frequency variation of the pixel brightness in the digital video of a cyclic movement.
Study Type
OBSERVATIONAL
Enrollment
112
Maximal incremental running test with measures of metabolic, spatio-temporal parameters and video recording with camera in the frontal plane. video recording of frontal view, metabolic and spatio-temporal measures of three (self-selected speed, + and - 20 percentage of self-selected speed) 6 minutes running test monthly (12 months) follow-up questionnaire
Running analysis of three six minutes running test (self-selected speed, + and - 20% of the self-selected speed) by video recording with camera in the frontal plane, and acquisition of the metabolic and spatio-temporal parameters
IRCCS Don Carlo Gnocchi
Florence, Tuscany, Italy
Correlation between running related injuries (RRI) and running gait harmonicity
Verify if RRI risk is correlated with measures of harmonicity derived from Graal software (registered during three six minutes running test at low, self-selected, high speed): • Number of pixel of the nine principal frequencies RRI are registered by follow-up questionnaires each month .
Time frame: 1year
Correlation between running gait harmonicity and spatio-temporal running parameters
The association of running gait harmonicity measures with contact time, flight time, stride length and cadence will be evaluated at each running velocity.
Time frame: 1 year
Correlation between running gait harmonicity and metabolic parameters
The association of running gait harmonicity measures with VO2max, ventilation, respiratory exchange ratio and hearth rate.
Time frame: 1 year
Correlation between running related injuries (RRI) and running gait harmonicity
Verify if RRI risk is correlated with measures of harmonicity derived from Graal software (registered during three six minutes running test at low, self-selected, high speed): Signal/noise ratio (ratio between values of the principal frequencies and noise)
Time frame: 1 year
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Monthly follow-up questionnaire (12 months) about training habits and injuries