Literature DB >> 31834181

Cycling Biomechanics Optimization-the (R) Evolution of Bicycle Fitting.

Jeroen Swart1, Wendy Holliday.   

Abstract

Optimal bicycle configuration has been the topic of numerous studies. A majority of these have investigated the optimal saddle height and have used either static kinematics or two-dimensional kinematic measurements. Other joints, such as the hip, shoulder, and elbow joint, have not been investigated to any meaningful extent. There is, therefore, a paucity of data describing the optimal position of the upper body and pelvis in cycling. More recently, it has been recommended that bike fitting be conducted in a dynamic functional manner, as kinematics can be influenced by cycling workload. Full-body three-dimensional kinematics and saddle pressure are newer modalities available to the clinician. This review of the literature investigates the current research pertaining to the configuration of all components of the bicycle, from static methods to dynamic methods, and related to optimal performance and injury prevention. Setting the saddle height using the Holmes static method is optimal for injury prevention and performance. Guidelines for optimal bicycle configuration should take into account the training intensity when assessing kinematics as compensatory lower-limb kinematics occur during higher-power outputs. Optimal KFA using dynamic measurements should range from 33° to 43° at low intensity to 30° to 40° at high intensity when measured at the bottom dead center crank position. Saddle pressure mapping should ideally be performed at an intensity similar to what cyclists will encounter during the majority of their training and racing. Reference values and recommendations for dynamic assessments are still required for all other joints. Furthermore, intrinsic factors, such as training load and flexibility, which may affect bicycle configuration and performance, should be investigated to assess how these may influence the optimal bicycle configuration.

Year:  2019        PMID: 31834181     DOI: 10.1249/JSR.0000000000000665

Source DB:  PubMed          Journal:  Curr Sports Med Rep        ISSN: 1537-890X            Impact factor:   1.733


  8 in total

1.  Anthropometrics, flexibility and training history as determinants for bicycle configuration.

Authors:  Wendy Holliday; Jeroen Swart
Journal:  Sports Med Health Sci       Date:  2021-03-04

2.  Changes in the Trunk and Lower Extremity Kinematics Due to Fatigue Can Predispose to Chronic Injuries in Cycling.

Authors:  Alberto Galindo-Martínez; Alejandro López-Valenciano; Carlos Albaladejo-García; Juan M Vallés-González; Jose L L Elvira
Journal:  Int J Environ Res Public Health       Date:  2021-04-02       Impact factor: 3.390

Review 3.  Median and ulnar nerve injuries in cyclists: A narrative review.

Authors:  Dinesh C Sirisena; Shauna H-S Sim; Ivan Lim; Vaikunthan Rajaratnam
Journal:  Biomedicine (Taipei)       Date:  2021-12-01

4.  Cycling kinematics in healthy adults for musculoskeletal rehabilitation guidance.

Authors:  Haeun Yum; Hyang Kim; Taeyong Lee; Moon Seok Park; Seung Yeol Lee
Journal:  BMC Musculoskelet Disord       Date:  2021-12-15       Impact factor: 2.362

5.  Could Proprioceptive Stimuli Change Saddle Pressure on Male Cyclists during Different Hand Positions? An Exploratory Study of the Effect of the Equistasi® Device.

Authors:  Annamaria Guiotto; Fabiola Spolaor; Giovanni Albani; Zimi Sawacha
Journal:  Sports (Basel)       Date:  2022-06-02

6.  Effects of Different Pedaling Positions on Muscle Usage and Energy Expenditure in Amateur Cyclists.

Authors:  Chun-Kai Tang; Ching Huang; Kai-Cheng Liang; Yu-Jung Cheng; Yueh-Ling Hsieh; Yi-Fen Shih; Hsiu-Chen Lin
Journal:  Int J Environ Res Public Health       Date:  2022-09-23       Impact factor: 4.614

7.  New Procedure for the Kinematic and Power Analysis of Cyclists in Indoor Training.

Authors:  José Antonio Calvo; Carolina Álvarez-Caldas; José Luis San Román; Ramón Gutiérrez-Moizant
Journal:  Sensors (Basel)       Date:  2020-10-28       Impact factor: 3.576

Review 8.  Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review.

Authors:  Eli Gabriel Avina-Bravo; Johan Cassirame; Christophe Escriba; Pascal Acco; Jean-Yves Fourniols; Georges Soto-Romero
Journal:  Sensors (Basel)       Date:  2022-01-08       Impact factor: 3.576

  8 in total

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