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Model-based prediction of the individual training intensity for the lower back muscles with application to physical rehabilitation
Authors:Andreas Schrempf  Winfried Habelsberger  
Affiliation:aUpper Austria University of Applied Sciences, Medical Device Technology, Garnisonstrasse 21, A-4020 Linz, Austria;bGebietskrankenkasse Upper Austria, Institute for Physical Medicine and Rehabilitation, Gruberstrasse 77, A-4020 Linz, Austria
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.
Keywords:Rehabilitation engineering   Biomedical system modeling   Simulation
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