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Enregistrement W2571380857 · doi:10.28985/jsc.v5i2.285

A New Approach to Measure Position Stability on the Bike in Time Trial Performance – A Pilot Study

2016· article· en· W2571380857 sur OpenAlexaboutno aff
Daniel Schade, Andy Froncioni, Jörg Natrup

Notice bibliographique

RevueJournal Of Science & Cycling · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueSports Performance and Training
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSaddleCadenceSimulationTime trialPosition (finance)Stability (learning theory)Computer scienceControl theory (sociology)EngineeringStructural engineeringArtificial intelligenceMedicine

Résumé

récupéré en direct d'OpenAlex

Introduction: As air resistance is the main source of resistance on flat time trials (Martin 2006, Debraux 2011), aerodynamic analysis and optimization is an important part of the preparation. Besides wind-tunnel testing (Garcia-Lopez 2008), also tests in the velodrome using the Track Aero System (Alphamantis, Montreal, CA) are used. Here the CdA-value is calculated over several laps in real-time. However, this measurement technique does not capture changes in the rider’s position that possibly indicate instability. It is assumed that the athlete’s pelvic stability can be used as indicator for the stability with which a time trial position can be ridden, i.e. the position’s sustainability. Accordingly, this pilot study aims at analysing pelvic stability using a dynamic measure of the location of the centre of pressure (COP). This is an important parameter to quantify the pelvis’ positioning (Kraus 2015). Possible evasive movements on the saddle should be captured and quantified.  Methods: Five professional road cyclists performed the test process on their own time trial bikes in a closed velodrome (BA¼ttgen, GER). Different interventions were performed by changing the settings at the contact point saddle and at the cockpit. In the starting position and after each intervention, the subjects were tested over 10 laps. The parameters speed, cadence and power were measured in real-time using the TAS system. A flexible, saddle-specific pressure mat (GeBioM mbH, MA¼nster, GER) equipped with 64 resistive pressure sensors is fixed to the saddle. The measured data are transmitted with 50Hz to the laptop via a WiFi-transmitter mounted behind the saddle post. The measuring distance is about 200m, accordingly, the entire round could be captured. The analysis parameter COP – capturing the central point of contact on the saddle – was used to measure pelvic stability. It is evaluated referring to the standard deviation of all measurement values of one measurement of the transversal (X) and longitudinal extension (Y) and its position relating to the saddle tip. Additionally, the number of saddle shifts is analysed. A saddle shift is every moment in which the pelvis has no contact to the saddle. We compare and statistically evaluate the measurements with the largest and smallest CdA-value, respectively, using the student’s t-test (p = 0.05) for paired samples.  Results: For all subjects, the number of saddle shifts decreases as the CdA-value becomes smaller. There is a highly significant relation between changing the position and the number of saddle shifts (t = 0.009). The standard deviation of the COP along the longitudinal Y-axis generally decreases over the measurements along with the CdA-value (t=0.058). The standard deviation along the transversal X-axis decreases as the CdA-value decreases for three subjects, while it increases for two subjects (t=0.164). Lastly, as the CdA-value decreases, the COP’s positioning along the longitudinal axis moves towards the saddle tip for three subjects and towards the back for two subjects. None of these moves is significant.  Discussion: The tested combination of two technologies in this pilot study provides first insights concerning the factors of aerodynamics and stability. Changing the position evidently not only affects the CdA-value but also the frequency of saddle shifts in time trials. The COP can be considered as an informative parameter for pelvic stability, as the standard deviation along both axes provide information about the pelvic movement in a given position (fig.1 + 2). A trend emerges according to which a higher stability at the saddle is related to a reduction of the air resistance. The y-coordinate can be used as additional variable to identify the exact positioning of the pelvis on the saddle. In follow-up studies with more subjects the relation between the y-coordinate and the number of saddle shifts should be analysed to address the question of the sustainability of a position. This could also be conducted as a field experiment as all the utilized measurement techniques can be used under real conditions in time trial training on the road.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,020

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,109
Tête enseignante GPT0,318
Écart entre enseignants0,209 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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