On the intersubject generalization ability in extracting kinematic information from afferent nervous signals
On the intersubject generalization ability in extracting kinematic information from afferent nervous signals
复制标题
DOI：
10.1109/tbme.2003.816075
复制
发表时间：
2003-09-01
影响因子：
4.6
通讯作者：
Sinkjær, T
中科院分区：
文献类型：
--
作者：
Cavallaro, E;Micera, S;Sinkjær, T
近年来，为了评估基于感觉神经电信号处理的闭环控制神经假体的可行性，人们进行了大量的工作。这些技术的成功在很大程度上取决于能够从这些信号中提取必要的运动学信息的处理算法的发展。软计算算法由于其泛化能力和无模型结构，在处理神经肌肉系统的复杂性时非常有用。本文使用袖带电极从动物模型的肌肉传入记录的ENG信号中提取角度位置信息。具体地说，开发了一种基于遗传算法的动态非单态模糊逻辑系统(GA-DNSFLS)，并在不同类型的角轨迹(小角度和大角度漂移)上进行了测试。特别是，在神经模糊模型的后继部分使用了两种不同的类Takagi-Sugeno-Kang(TSK)结构，以验证哪一种结构可以提高泛化能力(主体内和主体间)。结果表明，GA-DNSFLS能够重建轨迹，在受试者内和受试者间测试期间小漂移运动的实际轨迹和预测轨迹之间的相关性方面，给出了有趣的结果。特别是，其中一个TSK模型在被试之间的泛化方面表现出了更好的结果。对大型漂移运动进行的模拟在某些情况下导致了有趣的结果，但为了更深入地分析这一点，有必要进行进一步的实验。
In the recent past, many efforts have been carried out in order to evaluate the feasibility of implementing closed-loop controlled neuroprostheses based on the processing of sensory electroneurographic (ENG) signals. The success of these techniques mostly relies on the development of processing algorithms capable of extracting the necessary kinematic information from these signals. Soft-computing algorithms can be very useful when dealing with the complexity of the neuromuscular system because of their generalization ability and model-free structure. In this paper, these techniques were used to extract angular position information from the ENG signals recorded from muscle afferents in animal model using cuff electrodes. Specifically, a genetic algorithm-based dynamic nonsingleton fuzzy logic system (named GA-DNSFLS) was developed and tested on different types of angular trajectories (characterized by small or large angular excursions). In particular, two different Takagi-Sugeno-Kang (TSK)-like structures were used in the consequent part of the neuro-fuzzy model in order to verify which one could improve the generalization abilities (intrasubject and intersubject). The results showed that the GA-DNSFLS was able to reconstruct the trajectories giving interesting results in terms of correlation between the actual and the predicted trajectories for small excursion movements during intrasubject and intersubject tests. Particularly, one of the TSK models showed better results in terms of intersubject generalization. The simulations conducted with the large excursion movements led in some cases to interesting results but further experiments are necessary in order to analyze this point more in deep.