Method to evaluate the skill level in fast locomotion through myoelectric and kinetic signal analysis

Medved, Vladimir; Tonković, Stanko

doi:10.1007/bf02441662

Cited by 7 publications

(12 citation statements)

References 7 publications

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“…The flight time varied significantly ( p < 0.05): it was longer during the SB s270 than during the SB s90 and the SB s180 . The flight times in SB s270 and SB s90 were comparable to the data published by Mkaouer et al (2012), Medved et al (1995) and Medved and Tonkovíc (1991). Also, the vertical elevation of the COM varied considerably in the flight phase ( p < 0.05).…”

Section: Discussionsupporting

confidence: 88%

“…The greatest indices of vertical force (Fy) were attained during the SB s90 followed by SB s270 and SB s180 . Medved et al (1995), Medved and Tonkovic (1991) and Lacouture et al (1989) have reported similar values of the horizontal force developed during the SB s270 and vertical force during the SB s90 , respectively.…”

Section: Discussionmentioning

confidence: 79%

“…In the Romanian school, the gymnast takes off with the arms vertically pointing downwards following an oscillation of 90° (SB s90 ) (Figure 1C). Only few authors have studied somersaulting and each studied only one mode of these techniques separately; none has compared them in a single study: Medved and Tonkovic (1991), Medved et al (1995) and Mkaouer et al (2012) studied the 270°’s arms swing technique; Munkasy et al (1996), McNitt-Gray et al (2001), Mathiyakom et al (2006), and Okubo (2012) focused on the 180° technique; Lacouture et al (1989), Duboy et al (1994) and Leboeuf et al (2012) investigated the 90° technique. A larger number of authors have analyzed various characteristics of efficient execution of the back somersault; however, their studies were focused on the connections prior to a back somersault (such as applying round-off, flicflac, salto tempo) (King and Yeadon, 2006; McNitt-Gray, 2001; Sadowski et al, 2005; Sands, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Effect of Three Technical Arms Swings on The Elevation of the Center of Mass During a Standing Back Somersault

Mkaouer

Jemni

Amara

et al. 2014

Journal of Human Kinetics

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Arms swing during standing back somersaults relates to three different “gymnastics schools”, each is considered “optimal” by its adepts. In the three cases, technical performance, elevation and safety differ. Therefore, the aim of this study was to compare the mechanical variables of three different arms swing techniques in the performance of a standing back tucked somersault. Five high-level male gymnasts (age: 23.17±1.61 yrs; body height: 1.65±0.05 m; body mass: 56.80±7.66 kg) randomly performed standing somersaults under three conditions, each following a different arms’ swing technical angle (270°, 180° and 90°). A force plate synchronized with a three dimensional movement analysis system was used to collect kinetic and kinematic data. Significant differences were observed between somersaults’ performance. The back somersault performed with 270° arms swing showed the best vertical displacement (up to 13.73%), while the back somersaults performed with 180° arms swing showed a decrease in power (up to 22.20%). The back somersault with 90° arms swing showed the highest force (up to 19.46%). Considering that the higher elevation of the centre of mass during the flight phase would allow best performance and lower the risk of falls, this study demonstrated that optimal arms’ swing technique prior to back tucked somersault was 270°.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

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Effect of Three Technical Arms Swings on The Elevation of the Center of Mass During a Standing Back Somersault

Mkaouer

Jemni

Amara

et al. 2014

Journal of Human Kinetics

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“…Empirical research evidence shows us that the value of this index, estimated by calculating correlation coefficients of smoothed EMG signals of pairwise measured m.gastrocnemi-i, amounts to approximately 0.8, being a threshold of the high skill level. 9 The area of gait pathology diagnostics offers its own criteria, as a result of accumulated experimental evidence. 15 The essence of the system's function is in comparing the simulated and measured signals.…”

Section: Locomotion Simulation Facility and Data Comparisonmentioning

confidence: 99%

“…It bears upon the previously reported concept of signal synthesis, 8 and a recently developed system of EMG and kinetic signal-based locomotion diagnostics. 9 The enhanced system's concept has been preliminarily reported in reference 10.…”

Section: Introductionmentioning

confidence: 99%

Towards a virtual reality-assisted movement diagnostics - an outline

Medved

1994

Robotica

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The paper proposes a concept of a movement diagnostics system of enhanced performances. The existing system, using electromyographic (EMG) and ground reaction force signals as inputs, has been applied primarily to sports locomotion evaluation and testing, providing suitable quantitative criteria. The proposed enhancement relies on movement simulation facility, incorporating subject-specific anatomical and functional data on the neuro-musculo-skeletal system of extremities. Reflecting the principles of anthropomorphic robotics, the computer graphics simulation is conceptualized to generate artificial (synthesized) movement patterns in virtual reality.By comparing synthesized and measured signals the suitable feedback information is provided that may be used to enhance the overall system's performance. Using the power of computer technology and computer graphics, a user-friendly system of high ergonomic potentials is thus devised, in order to enhance the quality and efficacy of diagnostic procedure. The bioengineering principles used and the merging of measurement with simulation in the process of operation define a powerful instrument applicable to both healthy and pathological movement assessment.

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Kinesiological Electromyography

Cifrek

Gruić

Medved

2021

Series in Biomedical Engineering

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Sometimes even identified -albeit incorrectly -with biomechanics, kinesiology is a field relying heavily on biomechanical methodology. Borellian Rennaisance approach, enhanced in the past with seminal contributions by scientists such as Marey, Braune, and Fischer, followed further by the work of the Berkeley Group, and later by a number of modern authors, has put classical mechanics in the centre of a paradigm taken to understand, analyse and quantitatively assess human movement. As this framework sets both a geometrical and a dynamical definition of the spatial (three dimensional -3D) movement of human body as a whole, an important further focus of the study may be directed to skeletal muscle itself, a basic actuator of movement and genuine biological system designed to produce mechanical force and cause movement. In this context, to monitor and evaluate human movement, we have a unique, second to none, method: electromyography (EMG); i.e. the recording of electrical activity of skeletal musculature. When studying kinesiological tasks, in particular, surface electromyography (sEMG) is the method's variant of choice. To quote Hess (Hess, 1954, as cited in Waterland, 1968): "The course of a movement is nothing else but a projection to the outside of a pattern of excitation taking place at a corresponding setting in the central nervous system". This thought reflects the importance of EMG signals as certain "windows" into the action of the central nervous system during the performance of a motor task. Kinesiological electromyography is, therefore, an established subfield of modern locomotion biomechanics. We witness today a number of professional journals, conferences, organizations and university-level courses devoted to this subject around the world. At the University of Zagreb, in particular, courses of this kind are spread across several departments (Medved, 2007). At the intersection of physiology and biomechanics, and with strong quantitative aspect, this discipline significantly contributes to our understanding of human movement and is therefore used in a number of basic and applied fields. Consequently, due to its inter-disciplinary nature, it is used by different professionals; physical therapists, medical doctors of various specialties, electrical and biomedical engineers, kinesiologists, to name but a few. To set the global framework, this chapter first shortly refers to the basics of methodology in biomechanical approach to human movement and of musculo-skeletal modelling. The method of surface electromyography is described next in some detail. Time domain signal processing methods are then presented, followed by the methods performed in the www.intechopen.com Biomechanics in Applications 350 frequency domain; all with the vision towards applications in the field of kinesiology. Chapter concludes by pointing to modern engineering solutions for multichannel sEMG.

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Method to evaluate the skill level in fast locomotion through myoelectric and kinetic signal analysis

Cited by 7 publications

References 7 publications

Effect of Three Technical Arms Swings on The Elevation of the Center of Mass During a Standing Back Somersault

Effect of Three Technical Arms Swings on The Elevation of the Center of Mass During a Standing Back Somersault

Towards a virtual reality-assisted movement diagnostics - an outline

Kinesiological Electromyography

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