1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Correlations between the EMG Structure of Movement Patterns and Activity of Postural Muscles in Able-Bodied and Wheelchair Fencers

      , , , ,
      Sensors
      MDPI AG

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The study involved Paralympic wheelchair fencers (N = 7) in two disability categories, and able-bodied female epee fencers (N = 7), members of the polish paralympic fencing teams. The performance of postural muscles and sword arm muscles in both groups of fencers, and of the front and rear leg muscles in the able-bodied fencers, was examined using surface electromyography with an accelerometer and the OptiTrack motion analysis system, as well as ground force reaction platforms. The activation sequence of individual muscles was determined and the structure of movement patterns in able-bodied and wheelchair fencers was formulated. A statistically significant correlation was found between the complex motor reaction time and latissimus dorsi muscle activation (p = 0.039, Z = −2.062) in wheelchair fencers. High correlations between the vertical force and EMG signal values of the gastrocnemius caput laterale muscle (0.85 for p = 0.022) were found in able-bodied fencers. A heuristic analysis indicated the significance of postural muscles in the movement patterns of wheelchair and able-bodied fencers. These muscles play a crucial role in the anticipatory postural adjustment of the trunk during technical fencing actions, including attacks on the opponent’s body.

          Related collections

          Most cited references36

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review

          Recent technological developments have led to the production of inexpensive, non-invasive, miniature magneto-inertial sensors, ideal for obtaining sport performance measures during training or competition. This systematic review evaluates current evidence and the future potential of their use in sport performance evaluation. Articles published in English (April 2017) were searched in Web-of-Science, Scopus, Pubmed, and Sport-Discus databases. A keyword search of titles, abstracts and keywords which included studies using accelerometers, gyroscopes and/or magnetometers to analyse sport motor-tasks performed by athletes (excluding risk of injury, physical activity, and energy expenditure) resulted in 2040 papers. Papers and reference list screening led to the selection of 286 studies and 23 reviews. Information on sport, motor-tasks, participants, device characteristics, sensor position and fixing, experimental setting and performance indicators was extracted. The selected papers dealt with motor capacity assessment (51 papers), technique analysis (163), activity classification (19), and physical demands assessment (61). Focus was placed mainly on elite and sub-elite athletes (59%) performing their sport in-field during training (62%) and competition (7%). Measuring movement outdoors created opportunities in winter sports (8%), water sports (16%), team sports (25%), and other outdoor activities (27%). Indications on the reliability of sensor-based performance indicators are provided, together with critical considerations and future trends.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Field evaluation of paralympic athletes in selected sports: implications for training.

            The purpose of this study was 1) to describe the acute cardiorespiratory and metabolic responses of Paralympic athletes participating in the following five sports: Nordic sit skiing (NS, n = 5), wheelchair distance racing (WR, n = 6), wheelchair basketball (WB, n = 13), wheelchair fencing (WF, n = 6), and wheelchair tennis (WT, n = 4); and 2) to examine the relationship between field test performance and laboratory measures of aerobic fitness of these Paralympic athletes. Each athlete completed an incremental arm cranking exercise test to determine ventilatory threshold (VT) and peak oxygen uptake (VO2peak). Subsequently, field assessments were carried out using a telemetric system to measure the cardiorespiratory responses in their respective sport. VT and VO2peak (both expressed in milliliters per kilogram per minute) of athletes competing in NS (38.3 +/- 5.76 and 51.0 +/- 6.92 mL x kg(-1) x min(-1)) and WR (35.5 +/- 5.96 and 48.1 +/- 6.35 mL x kg(-1) x min(-1)) were significantly higher (P < 0.05) than those competing in WB (26.0 +/- 2.13 and 36.9 +/- 3.70 mL x kg(-1) x min(-1)), WF (23.2 +/- 3.96 and 34.4 +/- 5.81 mL x kg(-1) x min(-1)), and WT (24.0 +/- 2.30 and 33.1 +/- 2.85 mL x kg(-1) x min(-1)). In the field tests, the average V O2, higher in NS and WR than in WB, WF, and WT, during NS, WR, WB, WF, and WT was 79.4% +/- 3.30%, 84.4% +/- 2.10%, 72.1% +/- 5.72%, 73.0% +/- 3.10%, and 73.0% +/- 1.91%, respectively, of VO2peak. There was a strong linear relationship between VO2 measured during the field tests and VT and VO2peak (R2 = 0.92 in each case). Athletes regulated their average work intensity during the field tests in the five Paralympic sports to approximate their individualized VT measured during incremental arm cranking exercise test, and this intensity was within the range recommended by the American College of Sports Medicine to improve cardiorespiratory fitness in well-trained subjects. In addition, performance of Paralympic athletes in these sports was highly dependent upon athletes' aerobic fitness.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Sport Biomechanics Applications Using Inertial, Force, and EMG Sensors: A Literature Overview

              In the last few decades, a number of technological developments have advanced the spread of wearable sensors for the assessment of human motion. These sensors have been also developed to assess athletes' performance, providing useful guidelines for coaching, as well as for injury prevention. The data from these sensors provides key performance outcomes as well as more detailed kinematic, kinetic, and electromyographic data that provides insight into how the performance was obtained. From this perspective, inertial sensors, force sensors, and electromyography appear to be the most appropriate wearable sensors to use. Several studies were conducted to verify the feasibility of using wearable sensors for sport applications by using both commercially available and customized sensors. The present study seeks to provide an overview of sport biomechanics applications found from recent literature using wearable sensors, highlighting some information related to the used sensors and analysis methods. From the literature review results, it appears that inertial sensors are the most widespread sensors for assessing athletes' performance; however, there still exist applications for force sensors and electromyography in this context. The main sport assessed in the studies was running, even though the range of sports examined was quite high. The provided overview can be useful for researchers, athletes, and coaches to understand the technologies currently available for sport performance assessment.
                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                SENSC9
                Sensors
                Sensors
                MDPI AG
                1424-8220
                January 2023
                December 23 2022
                : 23
                : 1
                : 135
                Article
                10.3390/s23010135
                8578a59c-a199-40a2-87c9-6d5f117968dd
                © 2022

                https://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article