Model-based prediction of the individual training intensity for the lower back muscles with application to physical rehabilitation

Research output: Contribution to journalArticle

Abstract

The individual adjustment of the training intensity during physical training of the lower back muscles plays a crucial role in strength rehabilitation of chronic low back pain patients. Since an one-repetition maximum test may increase injury risk and a common N-repetition maximum test with several trials is stressful for the patient and in many cases inaccurate, in this paper a model-based approach is proposed for predicting the N-repetition maximum. The individual training intensity represented by the N-repetition maximum is predicted by means of a biomechanical model together with fatigue parameters obtained from an isometric muscle contraction measurement.
Original languageEnglish
Pages (from-to)285-293
Number of pages9
JournalBiomedical Signal Processing and Control
Volume4
Issue number4
DOIs
Publication statusPublished - Oct 2009

Keywords

  • Rehabilitation engineering
  • Biomedical system modeling
  • Simulation

Fingerprint

Dive into the research topics of 'Model-based prediction of the individual training intensity for the lower back muscles with application to physical rehabilitation'. Together they form a unique fingerprint.

Cite this