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手部功能的神经认知机器人辅助治疗

Neurocognitive robot-assisted therapy of hand function.

作者信息

Metzger Jean-Claude, Lambercy Olivier, Califfi Antonella, Conti Fabio M, Gassert Roger

出版信息

IEEE Trans Haptics. 2014 Apr-Jun;7(2):140-9. doi: 10.1109/TOH.2013.72.

DOI:10.1109/TOH.2013.72
PMID:24968378
Abstract

Neurocognitive therapy, according to the Perfetti method, proposes exercises that challenge motor, sensory as well as cognitive functions of neurologically impaired patients. At the level of the hand, neurocognitive exercises typically involve haptic exploration and interaction with objects of various shapes and mechanical properties. Haptic devices are thus an ideal support to provide neurocognitive exercises under well-controlled and reproducible conditions, and to objectively assess patient performance. Here we present three neurocognitive robot-assisted exercises which were implemented on the ReHapticKnob, a high-fidelity two-degrees-of-freedom hand rehabilitation robot. The exercises were evaluated for feasibility and acceptance in a pilot study on five patients suffering from different neurological disorders. Results showed that all patients were able to take part in the neurocognitive robot-assisted therapy, and that the proposed therapy was well accepted by patients, as assessed through subjective questionnaires. Force/torque and position measurements provided insights on the motor strategy employed by the patients during the exploration of virtual object properties, and served as objective assessment of task performance. The fusion of the neurocognitive therapy concept with robot-assisted rehabilitation enriches therapeutic approaches through the focus on haptics, and could provide novel insights on sensorimotor impairment and recovery.

摘要

根据佩尔费蒂方法进行的神经认知疗法提出了一些练习,这些练习对神经受损患者的运动、感觉以及认知功能构成挑战。在手的层面上,神经认知练习通常包括触觉探索以及与各种形状和机械特性的物体进行交互。因此,触觉设备是在可控且可重复的条件下提供神经认知练习并客观评估患者表现的理想支持。在此,我们展示了在ReHapticKnob(一种高保真两自由度手部康复机器人)上实施的三种神经认知机器人辅助练习。在一项针对五名患有不同神经疾病患者的试点研究中,对这些练习的可行性和可接受性进行了评估。结果表明,所有患者都能够参与神经认知机器人辅助治疗,并且通过主观问卷调查评估,所提出的治疗方法得到了患者的良好接受。力/扭矩和位置测量为患者在探索虚拟物体特性过程中采用的运动策略提供了见解,并作为对任务表现的客观评估。神经认知疗法概念与机器人辅助康复的融合通过关注触觉丰富了治疗方法,并可能为感觉运动障碍和恢复提供新的见解。

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引用本文的文献

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Unsupervised robot-assisted rehabilitation after stroke: feasibility, effect on therapy dose, and user experience.卒中后无监督机器人辅助康复:可行性、对治疗剂量的影响和用户体验。
J Neuroeng Rehabil. 2024 Apr 9;21(1):52. doi: 10.1186/s12984-024-01347-4.
2
Progressive Transition From Supervised to Unsupervised Robot-Assisted Therapy After Stroke: Protocol for a Single-Group, Interventional Feasibility Study.中风后从监督式到非监督式机器人辅助治疗的渐进过渡:单组介入可行性研究方案
JMIR Res Protoc. 2023 Nov 9;12:e48485. doi: 10.2196/48485.
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Effects of robotic upper limb treatment after stroke on cognitive patterns: A systematic review.
脑卒中后上肢机器人治疗对认知模式的影响:系统评价。
NeuroRehabilitation. 2022;51(4):541-558. doi: 10.3233/NRE-220149.
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Towards a Platform for Robot-Assisted Minimally-Supervised Therapy of Hand Function: Design and Pilot Usability Evaluation.迈向用于手部功能的机器人辅助最小监督治疗平台:设计与初步可用性评估
Front Bioeng Biotechnol. 2021 Apr 15;9:652380. doi: 10.3389/fbioe.2021.652380. eCollection 2021.
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Multisensory Integration in Stroke Patients: A Theoretical Approach to Reinterpret Upper-Limb Proprioceptive Deficits and Visual Compensation.中风患者的多感官整合:重新诠释上肢本体感觉缺陷和视觉补偿的理论方法
Front Neurosci. 2021 Apr 7;15:646698. doi: 10.3389/fnins.2021.646698. eCollection 2021.
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