Biomedical Sensors & Signals Group, School of Electrical and Electronic Engineering, University College Dublin, D04V1W8, Dublin, Republic of Ireland
Biomedical Sensors & Signals Group, School of Electrical and Electronic Engineering, University College Dublin, D04V1W8, Dublin, Republic of Ireland.
eNeuro. 2024 Jan 17;11(1). doi: 10.1523/ENEURO.0211-23.2023. Print 2024 Jan.
Humans use tactile feedback to perform skillful manipulation. When tactile sensory feedback is unavailable, for instance, if the fingers are anesthetized, dexterity is severely impaired. Imaging the deformation of the finger pad skin when in contact with a transparent plate provides information about the tactile feedback received by the central nervous system. Indeed, skin deformations are transduced into neural signals by the mechanoreceptors of the finger pad skin. Understanding how this feedback is used for active object manipulation would improve our understanding of human dexterity. In this paper, we present a new device for imaging the skin of the finger pad of one finger during manipulation performed with a precision grip. The device's mass (300 g) makes it easy to use during unconstrained dexterous manipulation. Using this device, we reproduced the experiment performed in Delhaye et al. (2021) We extracted the strains aligned with the object's movement, i.e., the vertical strains in the ulnar and radial parts of the fingerpad, to see how correlated they were with the grip force (GF) adaptation. Interestingly, parts of our results differed from those in Delhaye et al. (2021) due to weight and inertia differences between the devices, with average GF across participants differing significantly. Our results highlight a large variability in the behavior of the skin across participants, with generally low correlations between strain and GF adjustments, suggesting that skin deformations are not the primary driver of GF adaptation in this manipulation scenario.
人类利用触觉反馈来进行熟练的操作。例如,当触觉感觉反馈不可用时,例如手指被麻醉,灵巧性会严重受损。当手指与透明板接触时,对指垫皮肤的变形进行成像,可以提供有关中枢神经系统接收到的触觉反馈的信息。事实上,皮肤变形通过指垫皮肤的机械感受器转化为神经信号。了解这种反馈如何用于主动物体操作将有助于我们理解人类的灵巧性。在本文中,我们提出了一种新的设备,用于在使用精密握法进行操作时对一个手指的指垫皮肤进行成像。该设备的质量(300 克)使其在不受约束的灵巧操作中易于使用。使用该设备,我们再现了 Delhaye 等人进行的实验。(2021)我们提取了与物体运动一致的应变,即指垫的尺侧和桡侧部分的垂直应变,以观察它们与握力(GF)适应的相关性。有趣的是,由于设备之间的重量和惯性差异,我们的部分结果与 Delhaye 等人的结果不同。(2021)参与者之间的平均 GF 差异显著。我们的结果突出了皮肤在参与者之间的行为存在很大的可变性,应变和 GF 调整之间的相关性通常较低,这表明在这种操作情况下,皮肤变形不是 GF 适应的主要驱动因素。