A subject-specific biomechanical control model for the prediction of cervical spine muscle forces

• Published in: Clinical biomechanics (Bristol) Vol. 51; no. NA; pp. 58 - 66
• Main Authors: Van den Abbeele, Maxim, Li, Fan, Pomero, Vincent, Bonneau, Dominique, Sandoz, Baptiste, Laporte, Sébastien, Skalli, Wafa
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.01.2018; Elsevier
• Subjects: Back Muscles - physiology; Biomechanical Phenomena; Biomechanics; Cervical spine; Cervical Vertebrae - physiology; Engineering Sciences; Humans; Intervertebral joint load estimation; Lumbosacral Region; Mechanics; Models, Biological; Muscle force estimation; Muscle, Skeletal - physiology; Musculoskeletal Physiological Phenomena; Neck Muscles - physiology; Weight-Bearing - physiology; Biomechanics; Intervertebral joint load estimation; Muscle force estimation; Cervical spine
• ISSN: 0268-0033; 1879-1271; 1879-1271
• DOI: 10.1016/j.clinbiomech.2017.12.001

The aim of the present study is to propose a subject-specific biomechanical control model for the estimation of active cervical spine muscle forces. The proprioception-based regulation model developed by Pomero et al. (2004) for the lumbar spine was adapted to the cervical spine. The model assumption is that the control strategy drives muscular activation to maintain the spinal joint load below the physiological threshold, thus avoiding excessive intervertebral displacements. Model evaluation was based on the comparison with the results of two reference studies. The effect of the uncertainty on the main model input parameters on the predicted force pattern was assessed. The feasibility of building this subject-specific model was illustrated with a case study of one subject. The model muscle force predictions, although independent from EMG recordings, were consistent with the available literature, with mean differences of 20%. Spinal loads generally remained below the physiological thresholds. Moreover, the model behavior was found robust against the uncertainty on the muscle orientation, with a maximum coefficient of variation (CV) of 10%. After full validation, this model should offer a relevant and efficient tool for the biomechanical and clinical study of the cervical spine, which might improve the understanding of cervical spine disorders. •A personalized proprioception-based model estimating neck muscle forces is proposed.•Consistent predictions are obtained independently from electromyogram-recordings.•The feasibility of building the subject-specific model was assessed for one subject.•Spine muscle response depends on the intervertebral joint load threshold.•The model allows studying the effect of postural disorders or poor muscle quality.