TY  - JOUR
AU  - Reed, Robert
A2  - Reed, Robert
A2  - Scarf, Philip
A2  - Jobson, Simon Adrian
A2  - Passfield, Louis
DB  - BISp
DP  - BISp
KW  - Feldversuch
KW  - Forschung, empirische
KW  - Herzfrequenzmessung
KW  - Herzleistung
KW  - Individualisierung
KW  - Individualtaktik
KW  - Leistung, sportliche
KW  - Leistungsanalyse
KW  - Leistungssport
KW  - Leistungssteigerung
KW  - Radsport
KW  - Regressionsanalyse
KW  - Training, sportliches
KW  - Trittfrequenz
KW  - Übertragung
LA  - eng
TI  - Determining optimal cadence for an individual road cyclist from field data
TT  - Bestimmung der optimalen Trittfrequenz für einen einzelnen Straßenradfahrer basierend auf Felddaten
PY  - 2016
N2  - The cadence that maximises power output developed at the crank by an individual cyclist is conventionally determined using a laboratory test. The purpose of this study was two-fold: (i) to show that such a cadence, which we call the optimal cadence, can be determined using power output, heart-rate, and cadence measured in the field and (ii) to describe methodology to do so. For an individual cyclist's sessions, power output is related to cadence and the elicited heart-rate using a non-linear regression model. Optimal cadences are found for two riders (83 and 70 revolutions per minute, respectively); these cadences are similar to the riders’ preferred cadences (82–92 rpm and 65–75 rpm). Power output reduces by approximately 6% for cadences 20 rpm above or below optimum. Our methodology can be used by a rider to determine an optimal cadence without laboratory testing intervention: the rider will need to collect power output, heart-rate, and cadence measurements from training and racing sessions over an extended period (>6 months); ride at a range of cadences within those sessions; and calculate his/her optimal cadence using the methodology described or a software tool that implements it.
L2  - https://dx.doi.org/10.1080/17461391.2016.1146336
DO  - 10.1080/17461391.2016.1146336
SP  - S. 903-911
SN  - 1746-1391
JO  - European journal of sport science
IS  - 8
VL  - 16
M3  - Elektronische Ressource (online)
M3  - Gedruckte Ressource
ID  - PU201610007137
ER  -