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Continuous estimation of multi-DOF movement from sEMG based on non-negative matrix factorization and L2 regulation.
- Source :
-
Medical & Biological Engineering & Computing . Jul2023, Vol. 61 Issue 7, p1675-1686. 12p. 1 Color Photograph, 1 Diagram, 1 Chart, 8 Graphs. - Publication Year :
- 2023
-
Abstract
- Accurate continuous estimation of multi-DOF movement is crucial for simultaneous control of advanced myoelectric prosthetic. The decoupling of multi-DOF is a challenge for continuous estimation. In this paper, we propose a model combined non-negative matrix factorization (NMF) with Hadamard product and L2 regulation to suppress the non-active DOF and achieve the multi-DOF movement continuous estimation. The L2 regulation of non-active DOF activation coefficient was added to the object function of NMF with the benefit of Hadamard product. The angles were estimated by a linear combination of the activation coefficients. We performed a set of continuous estimation experiments for single-DOF and multi-DOF movements of wrist flexion/extend and hand open/close. The results illustrated that the novel model could suppress non-active DOF in single-DOF movement better than other methods based on muscle synergy theory. Moreover, we investigated the robustness of suppression effect and the similarity of synergy matrices at different speeds for NMF-based methods, and the results showed that the proposed method had a superior performance. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MATRIX decomposition
*NONNEGATIVE matrices
*MULTI-degree of freedom
*WRIST
Subjects
Details
- Language :
- English
- ISSN :
- 01400118
- Volume :
- 61
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Medical & Biological Engineering & Computing
- Publication Type :
- Academic Journal
- Accession number :
- 164374277
- Full Text :
- https://doi.org/10.1007/s11517-023-02807-0