Data to produce the results of the publication: “Neurophysiological Validation of Simultaneous Intrinsic and Reflexive Joint Impedance Estimates”

The work presents the neurophysiological validation of simultaneous intrinsic and reflexive joint impedance estimates. The simultaneous intrinsic and reflexive joint impedance parameters are estimated using an online parallel-cascade (PC) algorithm. The neurophysiological validation is performed by investigating the linear association of the PC algorithm estimations with EMG. The work was performed and presented within a clinical/rehabilitation context to support the use of the PC technology for people with joint hyper-resistance. In short, the main goal of this paper is to perform a group-level neurophysiological validation of the PC system identification technique to support its clinical application.本研究针对同步固有与反射性关节阻抗估计结果开展神经生理学验证。研究采用在线并行级联（Parallel-Cascade, PC）算法，对同步固有与反射性关节阻抗参数进行估计。该神经生理学验证通过探究PC算法估计结果与肌电图（Electromyography, EMG）之间的线性关联完成。本研究在临床与康复场景下开展并呈现，旨在为PC技术应用于关节高阻力人群提供支撑。简言之，本论文的核心目标是针对PC系统辨识技术开展群体层面的神经生理学验证，以支撑其临床应用。