A computational model and simulation study of the efferent activity in the brachial nerves during voluntary motor intent.

摘要: Inherent limitations of the surface myoelectric signal, such as lack recording sites in high-level amputations, and sensitivity to placement impedance effects, confound its wider application powered prostheses. Since a functionally topographic distribution (somatotopic organization) nerve fascicles exists within peripheral nerves, it is theoretically possible that complete motor control information can be retrieved from signals. In this study, we present computational model simulates specific upper limb during voluntary contractions while they innervate relevant muscles. A procedure classifying data presented using set time domain features spike detection algorithm. Recommendations are made achieve optimal neural signal recognition, with regard electrode geometry analysis.