Sports TechnologyPub Date : 2015-04-03DOI: 10.1080/19346182.2015.1117475
R. Á. de Paula Símola, N. Harms, C. Raeder, M. Kellmann, T. Meyer, M. Pfeiffer, A. Ferrauti
{"title":"Tensiomyography reliability and prediction of changes in muscle force following heavy eccentric strength exercise using muscle mechanical properties","authors":"R. Á. de Paula Símola, N. Harms, C. Raeder, M. Kellmann, T. Meyer, M. Pfeiffer, A. Ferrauti","doi":"10.1080/19346182.2015.1117475","DOIUrl":"https://doi.org/10.1080/19346182.2015.1117475","url":null,"abstract":"Abstract The current study involved the completion of two distinct experiments. Experiment 1 analyzed the inter-day reliability of tensiomyography (TMG) muscle mechanical properties based on the amplitude of the muscle belly radial deformation, the time it takes to occur, and its velocity under maximal and submaximal stimuli, in the muscles rectus femoris, biceps femoris, and gastrocnemius lateralis, from 20 male sport students. Experiment 2 investigated whether changes in maximal voluntary isometric contraction (MVIC) could be predicted based on changes in TMG properties following 24 h after different squat training protocols (MS = multiple sets; DS = drop sets; EO = eccentric overload; FW = flywheel; PL = plyometrics) executed by 14 male strength trained athletes. Maximal electrical stimulation exhibited higher level of reliability. In most of the cases, TMG properties Tc, Td, Dm, V10, and V90 showed ICC scores >.8 and CV <10%. Simple linear regression analysis revealed that changes in Dm, V10, and V90 correlated with changes in MVIC following EO at r = .705, .699, and .695, respectively. TMG is a reliable method to assess muscle mechanical properties particularly within maximal stimuli and can be used for prediction of changes in MVIC following heavy eccentric strength exercises.","PeriodicalId":237335,"journal":{"name":"Sports Technology","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115901566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sports TechnologyPub Date : 2015-04-03DOI: 10.1080/19346182.2015.1117476
T. Jaitner, Marcus Schmidt, Kevin Nolte, C. Rheinländer, Sebastian Wille, N. Wehn
{"title":"Vertical jump diagnosis for multiple athletes using a wearable inertial sensor unit","authors":"T. Jaitner, Marcus Schmidt, Kevin Nolte, C. Rheinländer, Sebastian Wille, N. Wehn","doi":"10.1080/19346182.2015.1117476","DOIUrl":"https://doi.org/10.1080/19346182.2015.1117476","url":null,"abstract":"Abstract For the diagnosis of jumping performance in field-based conditions, a wearable measurement system based on inertial sensors (inertial measurement unit [IMU]) and a microcontroller unit has been developed to support online monitoring of a group of athletes. Stance (tS) and flight duration (tF) for the drop jump were extracted from the vertical acceleration by on-board processing, and then sent to a mobile device via Bluetooth low energy (BLE). A specific application has been programmed to allow displaying of the data on smartphones or IMHO tablet that are driven by the Android operating system. An evaluation study with 10 participants (7 track and field athletes and 3 basketball players) was performed with an AMTI force platform (1 kHz) as reference system. Out of 150 drop jumps from different heights (31.5, 40, and 50 cm) 94% were detected correctly. tS and tF showed mean differences of 3.40 ± 2.97 ms and 4.87 ± 3.85 ms, respectively, between force platform and IMU. Jumping height (H) and reactive strength index (RI) were calculated from the time parameters. Corresponding values were 0.59 ± 0.47 cm (H), and 0.06 ± 0.05 (RI). Bland–Altman plots derive a 95% level of agreement in the range from 9.82 to −8.13 s for tS, 15.02 to −11.40 ms for tF, and 0.16 to −0.16 for RI.","PeriodicalId":237335,"journal":{"name":"Sports Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125942834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sports TechnologyPub Date : 2015-04-03DOI: 10.1080/19346182.2015.1117478
I. Matveev, N. N. Varchenko, K. Gankin
{"title":"Using binocular pupillometry method for evaluating the functional state of persons","authors":"I. Matveev, N. N. Varchenko, K. Gankin","doi":"10.1080/19346182.2015.1117478","DOIUrl":"https://doi.org/10.1080/19346182.2015.1117478","url":null,"abstract":"Abstract The method of binocular pupillometry is presented with an application to evaluate the functional state of athletes. The method is based on registration of pupil reaction to a light flash stimulus. The reaction reflects the state of sympathetic–parasympathetic balance of autonomic nervous system and serves as an objective measurement of the body condition. Synchronous binocular registration of pupillograms allows to reveal the asymmetry of the neural system, which manifests hemisphere dominance and provides individual psychic characteristics. Results of the experiments performed with various groups of athletes and control group of non-sportive persons are presented. Comparison with traditional methods of functional state evaluation is done.","PeriodicalId":237335,"journal":{"name":"Sports Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132951664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sports TechnologyPub Date : 2015-04-03DOI: 10.1080/19346182.2015.1064935
N. Brown, Sebastian Bichler, W. Alt
{"title":"Detecting repetitions and time features in resistance training using triaxial accelerometry","authors":"N. Brown, Sebastian Bichler, W. Alt","doi":"10.1080/19346182.2015.1064935","DOIUrl":"https://doi.org/10.1080/19346182.2015.1064935","url":null,"abstract":"Accurately determining resistance-training parameters is crucial to gain knowledge about the training process and to evaluate training interventions. To current knowledge, no method exists to automatically detect a series of features in a repetition training session using one three-dimensional accelerometer. In this study, a specific algorithm was used to detect the number of repetitions and different time features. Features determined by the acceleration algorithm were compared to a reference system using a linear wire encoder to detect movements. A total of 50 healthy participants were randomly assigned to three different groups (maximal strength, hypertrophy, and muscular endurance) and executed three different resistance-training exercises (bench press, leg press, and trunk flexion). Results of both measurement systems were compared for agreement using Bland–Altman plots, regarding repetition numbers, TUT (time under tension) in concentric, eccentric, and isometric contraction forms and total TUT (sum of all contraction forms) as well as break between repetitions. Both methods showed high agreement in repetition count (mean error − 0.2 ± 0.6 repetitions). Time features were detected with less agreement, with 10.0% disagreement for TUT in first phase, 1.1% disagreement for second phase, and 56% disagreement in isometric contraction. However, it was possible to detect a series of time-based movement features, enhancing the possibility to objectively record different parameters of a resistance training session. This will improve research in resistance training and also bring advantages in the training process for coach and athlete.","PeriodicalId":237335,"journal":{"name":"Sports Technology","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121922582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sports TechnologyPub Date : 2015-04-03DOI: 10.1080/19346182.2015.1117477
Soeren Trangbaek, Cuno Rasmussen, T. Andersen
{"title":"On the development of inexpensive speed and position tracking system for swimming","authors":"Soeren Trangbaek, Cuno Rasmussen, T. Andersen","doi":"10.1080/19346182.2015.1117477","DOIUrl":"https://doi.org/10.1080/19346182.2015.1117477","url":null,"abstract":"Abstract A semi-automated tracking system was developed for the analysis of swimming, using cameras, an LED diode marker, and a red swim cap. Four experienced young swimmers were equipped with a marker and a swim cap and their position and speed was tracked throughout above water and underwater swimming sequences, using post image processing in MATLAB®. The results showed that this technique can be used to track a swimmer both under and above water, and identify speed fluctuations.","PeriodicalId":237335,"journal":{"name":"Sports Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130510403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sports TechnologyPub Date : 2015-04-03DOI: 10.1080/19346182.2015.1108979
Matthew C Miller, P. W. Macdermid, P. Fink, S. Stannard
{"title":"Agreement between Powertap, Quarq and Stages power meters for cross-country mountain biking","authors":"Matthew C Miller, P. W. Macdermid, P. Fink, S. Stannard","doi":"10.1080/19346182.2015.1108979","DOIUrl":"https://doi.org/10.1080/19346182.2015.1108979","url":null,"abstract":"Abstract Advances in technology have made the use of a variety of power meters ubiquitous in road cycling along with an ever-increasing popularity during mountain biking. This study compared data from one bicycle using three power meters: Stages (non-driveside crank arm); Quarq (chainring spider); and Powertap (rear-wheel hub). While no differences (p > .05) between power meters were present during treadmill riding at high or low cadences, dissimilarities for both power (W) and cadence (rpm) were apparent during actual cross-country mountain bike riding. Frequency distribution and analysis of coasting indicate that the Stages records more time (p < .001) at zero watts (6.9 ± 3.3 s) and zero cadence (6.9 ± 3.3 s) compared with Quarq (W = 3.3 ± 1.5 s, rpm = .8 ± .7 s) and Powertap (W = 1.1 ± .8 s, rpm = 3.0 ± 1.2 s). Consequently, significant interactions (power meter × terrain, p = .0351) and main effects (power meter p < .0001, and terrain p < .0001) for power output were present and included: uphill (317.5 ± 50.7, 340.8 ± 52.6, 327.3 ± 48.6 W); downhill (127.6 ± 12.3, 147.4 ± 23.8, 160.1 ± 24.0 W); and flat (201.1 ± 21.6, 225.2 ± 27.2, 224.0 ± 29.6 W) for the Stages, Quarq and Powertap, respectively. It is likely that accelerometry (Stages) compared with reed switch (Powertap and Quarq) technology to determine cadence, resulted in the discrepancies between power meters. However, while the reliability of the different methods appears acceptable for intermittent exercise such as cross-country mountain biking, the validity of each in such a situation requires confirming.","PeriodicalId":237335,"journal":{"name":"Sports Technology","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126990038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sports TechnologyPub Date : 2014-10-02DOI: 10.1080/19346182.2014.968250
L. Seifert, Vladislavs Dovgalecs, Jérémie Boulanger, D. Orth, R. Hérault, K. Davids
{"title":"Full-body movement pattern recognition in climbing*","authors":"L. Seifert, Vladislavs Dovgalecs, Jérémie Boulanger, D. Orth, R. Hérault, K. Davids","doi":"10.1080/19346182.2014.968250","DOIUrl":"https://doi.org/10.1080/19346182.2014.968250","url":null,"abstract":"The aim of this study was to propose a method for full-body movement pattern recognition in climbing, by computing the 3D unitary vector of the four limbs and pelvis during performance. One climber with an intermediate skill level traversed two easy routes of similar rates of difficulty (5c difficulty on French scale), 10m in height under top-rope conditions. The first route was simply designed to allow horizontal edge-hold grasping, while the second route was designed with more complexity to allow both horizontal and vertical edge-hold grasping. Five inertial measurement units (IMUs) were attached to the pelvis, both feet and forearms to analyse the 3D unitary vector of each limb and pelvis. Cluster analysis was performed to detect the number of clusters that emerged from coordination of the four limbs and pelvis during climbing performance. Analysis revealed 22 clusters with 11 clusters unique across the two routes. Six clusters were unique to the simple hold design route and five clusters emerged only in the complex hold design route. We conclude that clustering supported identification of full-body orientations during traversal, representing a level of analysis that can provide useful information for performance monitoring in climbing.","PeriodicalId":237335,"journal":{"name":"Sports Technology","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126278455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sports TechnologyPub Date : 2014-10-02DOI: 10.1080/19346182.2015.1064128
Vladislavs Dovgalecs, Jérémie Boulanger, D. Orth, R. Hérault, Jean‐François Coeurjolly, K. Davids, L. Seifert
{"title":"Movement phase detection in climbing*","authors":"Vladislavs Dovgalecs, Jérémie Boulanger, D. Orth, R. Hérault, Jean‐François Coeurjolly, K. Davids, L. Seifert","doi":"10.1080/19346182.2015.1064128","DOIUrl":"https://doi.org/10.1080/19346182.2015.1064128","url":null,"abstract":"The aim of this study was to propose a method to automatically detect the different types of behavioural states in climbing. One climber traversed an easy route (5c difficulty on French scale) of 10 m height with a top-rope. Five inertial measurement units (IMU) (3D accelerometer, 3D gyroscope, 3D magnetometer) were attached to the pelvis, both feet and forearms to analyse the direction (3D unitary vector) of each limb and pelvis in ambient space. Segmentation and classification processes supported detection of movement and immobility phases for each IMU. Depending on whether limbs and/or pelvis were moving, four states of behaviour were detected: immobility (absence of limb and pelvis motion), hold exploration (absence of pelvis motion but at least one limb in motion), pelvis movement (pelvis in motion but absence of limb motion) and global motion (pelvis in motion and at least one limb in motion). Results indicated that the climber spent 10% of time immobile, 65% exploring holds, 1% with pelvis in motion (indicating posture regulation) and 24% in global movement (could indicate transition between holds). This new method allows automatic, rapid and reliable detection of climbing behavioural states to facilitate assessment and monitoring of climbing performance.","PeriodicalId":237335,"journal":{"name":"Sports Technology","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121400096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sports TechnologyPub Date : 2014-10-02DOI: 10.1080/19346182.2015.1064127
F. Bauer, M. Simnacher, Urs Stöcker, R. Riener, P. Wolf
{"title":"Interaction forces in climbing: cost-efficient complementation of a 6dof instrumentation","authors":"F. Bauer, M. Simnacher, Urs Stöcker, R. Riener, P. Wolf","doi":"10.1080/19346182.2015.1064127","DOIUrl":"https://doi.org/10.1080/19346182.2015.1064127","url":null,"abstract":"To comprehensively analyse interaction forces in climbing, a fully instrumented climbing route has been requested but only once been realised, probably due to financial burdens. Thus, the objective of this work was to elaborate the potential of a one-dimensional force sensor to analyse interaction forces. Based on experimental data gained with our 6 degrees of freedom (6dof) instrumentation, we simulated a 1dof instrumentation. Performance metrics were extracted from both instrumentations. An equivalence test of extracted metrics revealed that a 1dof instrumentation is sufficient to analyse interaction forces when a distinctive loading direction is present at the hold. Consequently, we developed a 2dof instrumentation avoiding an unpractical alignment to the loading direction in the plane of the wall. This 2dof instrumentation can now be used to cost efficiently complement the 6dof instrumentation, in particular, in terms of monitoring interaction forces at holds with a distinctive loading direction within the plane of the climbing wall, e.g. foot holds and crimps.","PeriodicalId":237335,"journal":{"name":"Sports Technology","volume":"32 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113976108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sports TechnologyPub Date : 2014-10-02DOI: 10.1080/19346182.2015.1063909
Stuart Lim Beekmeyer
{"title":"Climbing pixels – using height field techniques to generate art-based climbing holds","authors":"Stuart Lim Beekmeyer","doi":"10.1080/19346182.2015.1063909","DOIUrl":"https://doi.org/10.1080/19346182.2015.1063909","url":null,"abstract":"This article explores the dual thematic of art and climbing through a series of experiments using contemporary design technology such as 3D modelling software and 3D printing to use the heightfield function to translate jpeg images into physical climbing holds. The article begins with examples of artists who create works for both art and climbing followed by an overview of relational aesthetic theory and its relevance to rock climbing. The article then explores a series of experiments based upon the height field function. The article concludes with the transformation of one of these height field models into a climbing hold via 3D printing, silicon moulding and casting in polyurethane resin. The hold was tested and evaluated at the Lactic Factory bouldering gym in Melbourne, Australia by its patrons over a five five-day period. The result of the test was strong support for the intent and concept but a negative response for the hold presented for testing which, is reflected in the article. The article explores the potentials and pitfalls of this technique and its relevance to rock climbing, contemporary art and urban design discourse.","PeriodicalId":237335,"journal":{"name":"Sports Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127136136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}