Han, Sungmin Youn, Inchan 2024-01-19T23:03:04Z 2024-01-19T23:03:04Z 2021-09-03 2018-04 1424-8220 https://pubs.kist.re.kr/handle/201004/121549 Afferent signals recorded from the dorsal root ganglion can be used to extract sensory information to provide feedback signals in a functional electrical stimulation (FES) system. The goal of this study was to propose an efficient feature projection method for detecting sensory events from multiunit activity-based feature vectors of tactile afferent activity. Tactile afferent signals were recorded from the L4 dorsal root ganglion using a multichannel microelectrode for three types of sensory events generated by mechanical stimulation on the rat hind paw. The multiunit spikes (MUSs) were extracted as multiunit activity-based feature vectors and projected using a linear feature projection method which consisted of projection pursuit and negentropy maximization (PP/NEM). Finally, a multilayer perceptron classifier was used to detect sensory events. The proposed method showed a detection accuracy superior to those of other linear and nonlinear feature projection methods and all processes were completed within real-time constraints. Results suggest that the proposed method could be useful to detect sensory events in real time. We have demonstrated the methodology for an efficient feature projection method to detect real-time sensory events from the multiunit activity of dorsal root ganglion recordings. The proposed method could be applied to provide real-time sensory feedback signals in closed-loop FES systems. English MDPI FUNCTIONAL ELECTRICAL-STIMULATION MULTIFUNCTION MYOELECTRIC HAND EMG PATTERN-RECOGNITION NERVE RECORDINGS MOVEMENT DYNAMICS NEURONS SIGNALS SYSTEMS ROBUST Linear Feature Projection-Based Sensory Event Detection from the Multiunit Activity of Dorsal Root Ganglion Recordings Article 10.3390/s18041002 1 SENSORS, v.18, no.4 SENSORS 18 4 scie scopus 000435574800074 2-s2.0-85044770920 Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Chemistry Engineering Instruments & Instrumentation Article FUNCTIONAL ELECTRICAL-STIMULATION MULTIFUNCTION MYOELECTRIC HAND EMG PATTERN-RECOGNITION NERVE RECORDINGS MOVEMENT DYNAMICS NEURONS SIGNALS SYSTEMS ROBUST sensory event detection multiunit activity linear feature projection projection pursuit negentropy maximization tactile afferent