Quantitative Tactile Assessment of Human Manual Dexterity

人类手动灵活性的定量触觉评估

基本信息

批准号：
10017141
负责人：
ESTHER P. GARDNER
金额：
$ 20.94万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-15 至 2022-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10017141
关键词：
3D Print Activities of Daily Living Adult Age Aging Arts Caring Characteristics Clinical Clothing Cognitive Color Digit structure Dimensions Discrimination Elderly Environment Feedback Film Fingerprint Fingers Friction Geometry Goals Hand Hand functions Human Impairment Learning Lifting Limb structure Local anesthesia Manuals Measures Mechanoreceptors Medical Motor Music Neuraxis Neurologic Operative Surgical Procedures Pathology Patients Performance Peripheral Peripheral Nerves Peripheral nerve injury Persons Play Posture Procedures Process Property Protocols documentation Psychophysics Purdue pegboard test Recovery of Function Rehabilitation therapy Resolution Role Sensory Shapes Skin Solid Source Specific qualifier value Stimulus Stroke Surface Surface Properties Surgical Gloves Tactile Testing Textiles Texture Thinness Touch sensation Training Weight Work braille density dexterity experimental study feeding finger movement grasp hand dysfunction human subject improved instrument mathematical ability middle age nervous system disorder nonhuman primate object shape physical property post stroke prevent relating to nervous system skills somatosensory stroke patient tool

项目摘要

Manual dexterity enables humans to manipulate small objects with our fingers, perform highly skilled tasks as well as simple activities of daily living. These actions require independent finger movements, and precise control of the direction and magnitude of fingertip forces such as those involved in grasping objects. We grasp objects of various textures, weights, and shapes by adapting our fingertip forces to friction at the grasping surface, the weight of the object, and its shape. The grip force must be optimized to prevent excessive squeezing of the object (wasted force and/or object damage) or slippage of the object from grasp (and possible breakage) due to insufficient, weak forces. The sense of touch is used perceive friction at the object surface; without tactile feedback humans tend to use too much force when grasping, or apply insufficient forces. In this study we use high-resolution 3D printing to create textured surfaces whose physical dimensions are specified and quantified in psychophysical tests. We propose to quantify and analyze manual dexterity using a grasp-and-lift task in which we measure the effects of load and surface texture on performance in healthy human adults of ages 18-80, and in subjects with central and/or peripheral neurological impairments. These experiments will provide quantitative metrics of manual dexterity and force control in young, middle-aged, and elderly subjects that can serve as baseline values for evaluating treatment and rehabilitation therapies following stroke, or peripheral nerve injury, as well as the well-known reduction in hand function as a result of aging.

手动敏捷使人能够用我们的手指操纵小物体，执行高技能的任务以及日常生活的简单活动。这些动作需要独立的手指运动，并且需要精确控制指尖力的方向和大小，例如抓住物体的方向和大小。我们通过调整指尖对摩擦的摩擦来掌握各种纹理，重量和形状的物体抓住表面，物体的重量及其形状。必须优化抓地力以防止物体过度挤压（浪费的力和/或物体损坏）或物体滑倒（以及可能的破裂）由于力不足而导致的力。接触感在物体表面；没有触觉反馈力不足。在这项研究中，我们使用高分辨率3D打印来创建纹理表面在心理物理测试中指定并量化了物理维度。我们建议量化和使用掌握和升级任务分析手动敏捷性，在其中测量负载和表面的效果 18-80岁的健康人类成年人以及中央和/或受试者的表现质感周围神经系统障碍。这些实验将提供手动敏捷性的定量指标以及在年轻，中年和老年受试者中的力量控制，可以用作基线值评估中风后的治疗和康复疗法，或外周神经损伤以及众所周知，由于衰老而减少手部功能。