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Record 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 on OpenAlexaboutno aff
Daniel Schade, Andy Froncioni, Jörg Natrup

Bibliographic record

VenueJournal Of Science & Cycling · 2016
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsnot available
Fundersnot available
KeywordsSaddleCadenceSimulationTime trialPosition (finance)Stability (learning theory)Computer scienceControl theory (sociology)EngineeringStructural engineeringArtificial intelligenceMedicine

Abstract

fetched live from 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.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.109
GPT teacher head0.318
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
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