Reconstruction of an unmeasured muscle excitation with the measured muscle synergies extracted using principal component analysis (pca)

Recording electromograpy (EMG) signals of deeply located muscles (e.g. iliopsoas) is challenging. The conventional surface and intramuscular EMG recording techniques present potential defects and risks, especially for the patients with pathological tissue close to the measurement site. In this study, an approach to construct unmeasured muscle excitations with the measured muscle synergies extracted by principal component analysis (PCA) was developed. By reducing the dimensionality of muscle excitations, synergy extrapolation can provide benefits over the reported methods (e.g. static optimization) in improvement of accuracy and efficiency for muscle excitation prediction.