Abstract
Proprioceptive afferent activities recorded by a multichannel microelectrode have been used to decode limb movements to provide sensory feedback signals for closed-loop control in a functional electrical stimulation (FES) system. However, analyzing the high dimensionality of neural activity is one of the major challenges in real-time applications. This paper proposes a linear feature projection method for the real-time decoding of ankle and knee joint angles. Single-unit activity was extracted as a feature vector from proprioceptive afferent signals that were recorded from the L7 dorsal root ganglion during passive movements of ankle and knee joints. The dimensionality of this feature vector was then reduced using a linear feature projection composed of projection pursuit and negentropy maximization (PP/NEM). Finally, a time-delayed Kalman filter was used to estimate the ankle and knee joint angles. The PP/NEM approach had a better decoding performance than did other feature projection methods, and all processes were completed within the real-time constraints. These results suggested that the proposed method could be a useful decoding method to provide real-time feedback signals in closed-loop FES systems.
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Acknowledgements
This work was supported in part by a grant of the Next-generation Medical Device Development Program for Newly-Created Market of the National Research Foundation (NRF) funded by the Korean Government, MSIP (No. 2015M3D5A1066100), the convergence technology development program for bionic arm through the NRF funded by the Ministry of Science, ICT & Future Planning (2017M3C1B2085311), the Korea Institute of Science and Technology Institutional Program (2E27980), and the Korea University Grant.
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Action Editor: Byron Yu
Sungmin Han and Jun-Uk Chu contributed equally to this work.
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Han, S., Chu, JU., Park, J.W. et al. Linear feature projection-based real-time decoding of limb state from dorsal root ganglion recordings. J Comput Neurosci 46, 77–90 (2019). https://doi.org/10.1007/s10827-018-0686-8
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DOI: https://doi.org/10.1007/s10827-018-0686-8