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在混合触觉系统中结合功能性电刺激(FES)与外骨骼以增强虚拟现实(VR)体验。

Combining FES and Exoskeletons in a Hybrid Haptic System for Enhancing VR Experience.

作者信息

de Mongeot L Buatier, Galofaro E, Ramadan F, D'Antonio E, Missiroli F, Lotti N, Casadio M, Masia L

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2023;31:4812-4820. doi: 10.1109/TNSRE.2023.3334190. Epub 2023 Dec 8.

Abstract

Robotic technology and functional electrical stimulation (FES) have emerged as highly effective rehabilitative techniques for individuals with neuromuscular diseases, showcasting their ability to restore motor functions. Within the proposed study, we developed and tested a new hybrid controller combining an upper-limb exoskeleton with FES to enhance haptic feedback when performing task-oriented and bimanual movement, like pick-and-place, in a virtual environment. We investigated the performance of the proposed approach on eight unimpaired participants providing haptic feedback either only by the exoskeleton or by the hybrid system. The hybrid control presents two different modalities, assistive and resistive, to modulate the perception of the load. FES intensity is calibrated to the subjects' biomechanical properties and it is adjusted in real-time according to the real-time motion of the upper limbs. Experimental results highlighted the ability of the hybrid control to improve kinematic performance: in both hybrid modalities subjects reduced the target matching error(values between 0.048±0.007 m and 0.06±0.006 m) without affecting the normal motion smoothness (SPARC values in the hybrid conditions range from -2.58±0.12 to -3.30±0.13). Moreover, the resistive approach resulted in greater metabolic consumption (1.04±0.03 W/kg), indicating a more realistic experience of lifting a virtual object through FES that increased the perceived weight. The innovation in our hybrid control relies on the modulation of muscular activation during manipulation tasks, which could be a promising approach in the clinical treatment of neuromuscular diseases.

摘要

机器人技术和功能性电刺激(FES)已成为治疗神经肌肉疾病患者的高效康复技术,展示了其恢复运动功能的能力。在本研究中,我们开发并测试了一种新型混合控制器,该控制器将上肢外骨骼与FES相结合,以增强在虚拟环境中执行任务导向型和双手运动(如抓取和放置)时的触觉反馈。我们研究了该方法在八名未受损参与者身上的表现,这些参与者分别通过外骨骼或混合系统获得触觉反馈。混合控制呈现两种不同模式,即辅助模式和阻力模式,以调节对负载的感知。FES强度根据受试者的生物力学特性进行校准,并根据上肢的实时运动进行实时调整。实验结果突出了混合控制改善运动学性能的能力:在两种混合模式下,受试者均降低了目标匹配误差(值在0.048±0.007 m至0.06±0.006 m之间),且不影响正常运动的平滑度(混合条件下的SPARC值范围为-2.58±0.12至-3.30±0.13)。此外,阻力模式导致更大的代谢消耗(1.04±0.03 W/kg),表明通过FES提起虚拟物体的体验更真实,增加了感知重量。我们混合控制的创新之处在于在操作任务期间对肌肉激活的调节,这可能是神经肌肉疾病临床治疗中一种有前景的方法。

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