Abstract
Inherent limitations of the surface myoelectric signal, such as the lack of recording sites in high-level amputations, and the sensitivity to placement and impedance effects, confound its wider application in powered prostheses. Since a functionally topographic distribution (somatotopic organization) of nerve fascicles exists within the peripheral nerves, it is theoretically possible that complete motor control information can be retrieved from peripheral nerve signals. In this study, we present a computational model that simulates the recording from specific nerve fascicles in the upper limb during voluntary contractions while they innervate relevant muscles. A procedure of classifying the nerve data is presented using a set of time domain features and a spike detection algorithm. Recommendations are made to achieve optimal neural signal recognition, with regard to electrode geometry and signal analysis.
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Notes
We have attempted to simplify the concept of encapsulation for this initial study. Although encapsulation is a continuous process of fibrous tissue surrounding the electrodes, resulting in decreasing signal amplitudes over time, it was desirable to have a single metric to describe the degree of encapsulation. By assuming that an electrode either experience no encapsulation (ON) or is fully encapsulated (OFF), we can describe the degree of encapsulation as the percentage of those that are OFF. We feel that, although not completely accurate, this approach will produce results that are very similar to those with continuous degradation of signal amplitude, assuming that neurons in each channel are either detectable or not.
By defining the “signal” as the AP peak at the recording boundary, this presents the “worst-case scenario” in defining the SNR.
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Zhou, R., Jiang, N., Englehart, K. et al. A computational model and simulation study of the efferent activity in the brachial nerves during voluntary motor intent. Med Biol Eng Comput 48, 67–77 (2010). https://doi.org/10.1007/s11517-009-0555-8
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DOI: https://doi.org/10.1007/s11517-009-0555-8