Behavioural Neurology / 2018 / Article / Tab 3 / Review Article
System Framework of Robotics in Upper Limb Rehabilitation on Poststroke Motor Recovery Table 3 The classification of control strategy.
Term Description Standard of classification Maciejasz et al. [62 ] “High-level” control strategy (i) Assistive control (ii) Challenge-based control (iii) Haptic stimulation (iv) Couching controlThe function of control systems “Low-level” control strategy (i) Admittance control (ii) Impedance controlGopura et al. [63 ] Based on input information (i) Human biological signal based control methods (ii) Nonbiological signal-based control methods (iii) Platform-independent control methodsThe position of signals Based on output information (i) Different controller architectureAnam et al. [64 ] Model system (i) Dynamic (ii) MuscleControl system architectures Physical parameters (i) Position (ii) Torque/force (iii) Force interactionThe hierarchy (i) Task level (ii) High level (iii) Low levelUsage (i) Virtual reality (ii) Teleoperation (iii) GaitMarchal-Crespo et al. [65 ] Assistive controllers (i) Impedance-based assistance (ii) Counterbalancing assistance (iii) EMG-based assistance (iv) Performance-based adaption of task parameterType of human-machine interaction Challenge-based robotic therapy control algorithms (i) Resistive strategies (ii) Constraint-induced strategies (iii) Error-amplification strategiesHaptic simulation strategies (i) Virtual realityNoncontacting coaches (i) Noncontacting coachesSicur et al. [66 ] Passive Active unassisted Active assisted Resistive Training modes Proietti et al. [67 ] Assistive mode Passive control Triggered passive control Partially assistive controlCorrective mode Tunneling Coordination controlResistive mode Training modes