Point-Process Analysis of Neural Spiking Activity of Muscle Spindles Recorded from Thin-Film Longitudinal Intrafascicular Electrodes

dc.contributor.authorCiti, Luca
dc.contributor.authorDjilas, Milan
dc.contributor.authorAzevedo-Coste, Christine
dc.contributor.authorYoshida, Ken
dc.contributor.authorBrown, Emery N.
dc.contributor.authorBarbieri, Riccardo
dc.contributor.departmentBiomedical Engineering, Purdue School of Engineering and Technology
dc.date.accessioned2025-07-18T11:35:45Z
dc.date.available2025-07-18T11:35:45Z
dc.date.issued2011
dc.description.abstractRecordings from thin-film Longitudinal Intra-Fascicular Electrodes (tfLIFE) together with a wavelet-based de-noising and a correlation-based spike sorting algorithm, give access to firing patterns of muscle spindle afferents. In this study we use a point process probability structure to assess mechanical stimulus-response characteristics of muscle spindle spike trains. We assume that the stimulus intensity is primarily a linear combination of the spontaneous firing rate, the muscle extension, and the stretch velocity. By using the ability of the point process framework to provide an objective goodness of fit analysis, we were able to distinguish two classes of spike clusters with different statistical structure. We found that spike clusters with higher SNR have a temporal structure that can be fitted by an inverse Gaussian distribution while lower SNR clusters follow a Poisson-like distribution. The point process algorithm is further able to provide the instantaneous intensity function associated with the stimulus-response model with the best goodness of fit. This important result is a first step towards a point process decoding algorithm to estimate the muscle length and possibly provide closed loop Functional Electrical Stimulation (FES) systems with natural sensory feedback information.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationCiti L, Djilas M, Azevedo-Coste C, Yoshida K, Brown EN, Barbieri R. Point-process analysis of neural spiking activity of muscle spindles recorded from thin-film longitudinal intrafascicular electrodes. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:2311-2314. doi:10.1109/IEMBS.2011.6090581
dc.identifier.urihttps://hdl.handle.net/1805/49591
dc.language.isoen_US
dc.publisherIEEE
dc.relation.isversionof10.1109/IEMBS.2011.6090581
dc.relation.journal2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectMuscles
dc.subjectSignal to noise ratio
dc.subjectNonhomogeneous media
dc.subjectElectrodes
dc.subjectSorting
dc.subjectNeuromuscular stimulation
dc.subjectClustering algorithms
dc.titlePoint-Process Analysis of Neural Spiking Activity of Muscle Spindles Recorded from Thin-Film Longitudinal Intrafascicular Electrodes
dc.typeArticle
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