TY - JOUR
T1 - Model-based prediction of the individual training intensity for the lower back muscles with application to physical rehabilitation
AU - Schrempf, Andreas
PY - 2009/10
Y1 - 2009/10
N2 - 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.
AB - 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.
KW - Rehabilitation engineering
KW - Biomedical system modeling
KW - Simulation
KW - Rehabilitation engineering
KW - Biomedical system modeling
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=70349770786&partnerID=8YFLogxK
U2 - 10.1016/j.bspc.2009.04.004
DO - 10.1016/j.bspc.2009.04.004
M3 - Article
VL - 4
SP - 285
EP - 293
JO - Biomedical Signal Processing and Control
JF - Biomedical Signal Processing and Control
IS - 4
ER -