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使用具有优化机械超材料的可穿戴机器人对震颤进行粘性阻尼

Viscous damping of tremor using a wearable robot with an optimized mechanical metamaterial.

作者信息

Raghavendra Kulkarni Suhas, Accoto Dino, Campolo Domenico

机构信息

Robotics Research Centre, School of Mechanical and Aerospace Engineering, NTU, Singapore.

Department of Mechanical Engineering, Ghent and Aalst Campuses, KU Leuven, Ghent, Belgium.

出版信息

Wearable Technol. 2024 Dec 10;5:e20. doi: 10.1017/wtc.2024.15. eCollection 2024.

Abstract

Pathological tremors can often be debilitating to activities of daily living and significantly affect the quality of life. Such tremulous movements are commonly observed in wrist flexion-extension (FE). To suppress this tremor we present a wearable robot (WR) with a customized mechanical metamaterial (MM) as the physical human-robot interface (pHRI). The MM is optimized to conform to the user's wrist posture and follow the hand's Cartesian trajectory. This is done to minimize the shear between the pHRI and the user's skin and consequently improve wearability. This WR is then used to effect a viscous tremor suppression using the velocity of the user's wrist FE. We present a model for the interaction between the WR and the user with which we develop the viscous damping approach for tremor. This is then evaluated in simulation and using a dedicated test bed. This tremor suppression approach demonstrates an attenuation of 20-30 dB at various tremulous frequencies resulting in significantly lower tremor amplitudes due to the viscous damping.

摘要

病理性震颤常常会使日常生活活动变得衰弱,并显著影响生活质量。这种震颤运动在手腕屈伸(FE)中很常见。为了抑制这种震颤,我们提出了一种可穿戴机器人(WR),它采用定制的机械超材料(MM)作为人机物理接口(pHRI)。对MM进行了优化,以符合用户的手腕姿势并跟踪手部的笛卡尔轨迹。这样做是为了最小化pHRI与用户皮肤之间的剪切力,从而提高可穿戴性。然后,使用这个WR根据用户手腕FE的速度实现粘性震颤抑制。我们提出了一个WR与用户之间相互作用的模型,并据此开发了用于震颤的粘性阻尼方法。然后在模拟和使用专用试验台的情况下对其进行评估。这种震颤抑制方法在各种震颤频率下都能实现20 - 30 dB的衰减,由于粘性阻尼,导致震颤幅度显著降低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/434a/11729489/553c2b7e62f5/S263171762400015X_fig1.jpg

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