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Quality assessment of bicycle training
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS). (CAISR)
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Cycling becomes a more and more popular sport activity in the modern world. People want to reach their physical limits in training and competitions. Different kinds of measurements exist to give cyclists information about their ride (e.g. speed, torque) in real-time.This work deals with the possibility to use surface electromyography (sEMG) to infer muscle fatigue, cadence and symmetric usage of muscle groups during bicycling. Various methods have been used to extract low-level features from the EMG data. The features are energy, squared energy, mean frequency and energy in specic frequency bands. These features are subsequently used for statistical inference. The proposed technology allows for a system to be realized on a portable digital device (such as a smart-phone) which is either carried by the user or mounted on the bicycle. In a final product EMG signals could be given in real-time, e.g. by wireless communication with a sensor array that is strapped on the users legs. Fourteen ergometer bicycle rides from eight dierent subjectswere recorded and analyzed. The results show a strong relation between the sum of energy during the bicycle ride and the muscle fatigue. Frequency based features showed a low relation. The optimum feature set shows an acceptable predictor output for muscle fatigue assessment. The frequency analysis of the EMG signal allows a estimation of the cadence.

Place, publisher, year, edition, pages
2012.
Keyword [en]
Muscle fatigue, sEMG, Cycling, Muscle asymmetry, Cadence
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hh:diva-19861Local ID: IDE1223OAI: oai:DiVA.org:hh-19861DiVA: diva2:561635
Subject / course
Computer science and engineering
Uppsok
Technology
Supervisors
Examiners
Available from: 2013-02-28 Created: 2012-10-19 Last updated: 2013-04-12Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf