Han, Sungmin Chu, Jun-Uk Kim, Hyungmin Choi, Kuiwon Park, Jong Woong Youn, Inchan 2024-01-20T04:03:15Z 2024-01-20T04:03:15Z 2021-09-04 2016-06 0018-9294 https://pubs.kist.re.kr/handle/201004/124021 In functional neuromuscular stimulation systems, sensory information-based closed-loop control can be useful for restoring lost function in patients with hemiplegia or quadriplegia. The goal of this study was to detect sensory events from tactile afferent signals continuously in real time using a novel unsorted spike-based pattern recognition method. The tactile afferent signals were recorded with a 16-channel microelectrode in the dorsal root ganglion, and unsorted spike-based feature vectors were extracted as a novel combination of the time and time-frequency domain features. Principal component analysis was used to reduce the dimensionality of the feature vectors, and a multilayer perceptron classifier was used to detect sensory events. The proposed method showed good performance for classification accuracy, and the processing time delay of sensory event detection was less than 200 ms. These results indicated that the proposed method could be applicable for sensory feedback in closed-loop control systems. English IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC FUNCTIONAL ELECTRICAL-STIMULATION GAIT PHASE DETECTION NEURAL SIGNALS ANIMAL-MODEL FEEDBACK CLASSIFICATION REPRESENTATION INFORMATION CONTROLLER ENSEMBLES An Unsorted Spike-Based Pattern Recognition Method for Real-Time Continuous Sensory Event Detection from Dorsal Root Ganglion Recording Article 10.1109/TBME.2015.2490739 1 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.63, no.6, pp.1310 - 1320 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 63 6 1310 1320 scie scopus 000377045500023 2-s2.0-84971663725 Engineering, Biomedical Engineering Article FUNCTIONAL ELECTRICAL-STIMULATION GAIT PHASE DETECTION NEURAL SIGNALS ANIMAL-MODEL FEEDBACK CLASSIFICATION REPRESENTATION INFORMATION CONTROLLER ENSEMBLES Pattern recognition sensory event detection sensory feedback unsorted spike