Dynamics of Revolution Time Variability in Cycling Pattern: Voluntary Intent Can Alter the Long-Range Autocorrelations

التفاصيل البيبلوغرافية
العنوان: Dynamics of Revolution Time Variability in Cycling Pattern: Voluntary Intent Can Alter the Long-Range Autocorrelations
المؤلفون: Benjamin Bollens, Frédéric Crevecoeur, Thibault Warlop, Christine Detrembleur, Thierry Lejeune
المساهمون: UCL - SSS/IONS/COSY - Systems & cognitive Neuroscience, UCL - (SLuc) Service de médecine physique et de réadaptation motrice, UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique
المصدر: Annals of Biomedical Engineering, Vol. 41, no. 8, p. 1604-1612 (2013)
بيانات النشر: Springer Science and Business Media LLC, 2013.
سنة النشر: 2013
مصطلحات موضوعية: Adult, Male, Volition, Physical Exertion, Statistics as Topic, Biomedical Engineering, Intention, Metronome, Models, Biological, Pattern Recognition, Automated, law.invention, Rhythm, law, Statistics, Humans, Computer Simulation, Simulation, Mathematics, Hurst exponent, Models, Statistical, Motor control, Spectral density, Adaptation, Physiological, Bicycling, Duration (music), Cadence, Cycling, Psychomotor Performance
الوصف: Long-range dependency has been found in most rhythmic motor signals. The origin of this property is unknown and largely debated. There is a controversy on the influence of voluntary control induced by requiring a pre-determined pace such as asking subjects to step to a metronome. We studied the cycle duration variability of 15 men pedaling on an ergometer at free pace and at an imposed pace (60 rpm). Revolution time was determined based on accelerometer signals (sample frequency 512 Hz). Revolution time variability was assessed by coefficient of variation (CV). The presence of long-range autocorrelations was based on scaling properties of the series variability (Hurst exponent) and the shape of the power spectral density (α exponent). Mean revolution time was significantly lower at freely chosen cadence, while values of CV were similar between both sessions. Long-range autocorrelations were highlighted in all series of cycling patterns. However, Hurst and α exponents were significantly lower at imposed cadence. This study demonstrates the presence of long-range autocorrelations during cycling and that voluntary intent can modulate the interdependency between consecutive cycles. Therefore, cycling may constitute a powerful paradigm to investigate the influence of central control mechanisms on the long-range interdependency characterizing rhythmic motor tasks.
تدمد: 1573-9686
0090-6964
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa850c917d2e4dd32a9e83d23982d6f6Test
https://doi.org/10.1007/s10439-013-0834-2Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....aa850c917d2e4dd32a9e83d23982d6f6
قاعدة البيانات: OpenAIRE