1988
DOI: 10.1016/0021-9290(88)90016-4
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Bivariate optimization of pedalling rate and crank arm length in cycling

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Cited by 57 publications
(23 citation statements)
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“…Several investigations have tried to explain the discrepancy found between the f _ V V O2,min in laboratory conditions and the preferred pedalling rate in field conditions, by using criteria other than the minimisation of energy expenditure, such as an optimisation of the force applied to the pedals (Sanderson 1991), a minimisation of the lower extremity net joint moments (Marsh et al 2000), a minimisation of integrated electromyogram (iEMG) of the muscles (Pattersson and Moreno 1990;Takaishi et al 1996) and/or a minimisation of the accumulation of lactate in the muscles (Bo¨ning et al 1984). Moreover, theoretical studies (using intersegmental moments computed though inverse dynamics) have predicted optimal pedalling rate of 95-100 rpm by using muscle endurance-based cost functions (Hull and Gonzales 1988). Recent studies of Chavarren and Calbet (1999) and Francescato et al (1995) have showed that the D efficiency index (ratio of the change in work accomplished to the change in energy expended) could explain the discrepancy between optimal and preferred pedalling rates, since D efficiency increased with the pedalling rate during submaximal exercise on a cycle ergometer.…”
Section: Introductionmentioning
confidence: 99%
“…Several investigations have tried to explain the discrepancy found between the f _ V V O2,min in laboratory conditions and the preferred pedalling rate in field conditions, by using criteria other than the minimisation of energy expenditure, such as an optimisation of the force applied to the pedals (Sanderson 1991), a minimisation of the lower extremity net joint moments (Marsh et al 2000), a minimisation of integrated electromyogram (iEMG) of the muscles (Pattersson and Moreno 1990;Takaishi et al 1996) and/or a minimisation of the accumulation of lactate in the muscles (Bo¨ning et al 1984). Moreover, theoretical studies (using intersegmental moments computed though inverse dynamics) have predicted optimal pedalling rate of 95-100 rpm by using muscle endurance-based cost functions (Hull and Gonzales 1988). Recent studies of Chavarren and Calbet (1999) and Francescato et al (1995) have showed that the D efficiency index (ratio of the change in work accomplished to the change in energy expended) could explain the discrepancy between optimal and preferred pedalling rates, since D efficiency increased with the pedalling rate during submaximal exercise on a cycle ergometer.…”
Section: Introductionmentioning
confidence: 99%
“…One may consider that the subjects in this study with peak work Ͼ peak V O 2 were more familiar with bicycle exercise than the subjects in the peak V O 2 Ͼ peak work group, thus allowing them a potential biomechanical advantage by more efficient pedaling to generate work. 26 However, we do not think this factor was relevant, because there was no overall difference in the use of or experience with bicycle ergometry in any of the 3 groups.…”
Section: Discussionmentioning
confidence: 99%
“…Previous research has demonstrated considerable variation in the optimal range of crank lengths for cycling performance (Conrad 1983;Inbar et al 1983;Hull and Gonzalez 1988;Morris and Londeree 1997;Too and Landwer 2000;Martin and Spirduso 2001). Shorter crank lengths (B170 mm) tend to favour athletes with shorter leg lengths (Martin and Spirduso 2001), those preferring a faster cadence (Hull and Gonzalez 1988) and those interested in developing supra-maximal performances for short time periods (Inbar et al 1983;Too and Landwer 2000).…”
Section: Introductionmentioning
confidence: 98%