通过可穿戴设备量化健康人本体感觉与目标匹配能力,构建运动感知基准数据。
Identifying patterns of proprioception and target matching acuity in healthy humans
- 设计腕部多模态传感器,同步采集单轴旋转中的本体感觉数据。
- 发现被动速度感知与主动位置感知在健康人中排名相关,但其他指标无显著关联。
- 结果揭示感知维度可分离,适用于中风患者功能缺陷的精准识别。
传统上肢康复评估存在测量盲区,电子传感与记录技术可弥补。本文指出当前运动学记录设备的不足,并提出一种腕部传感装置,在单轴旋转过程中实现多模态感知采集。研究旨在通过11名神经功能正常受试者的心理物理学实验,表征正常人群的本体感觉与现实任务表现,构建可作为中风患者功能缺损参照的多模态感官“指纹”。实验包括被动刺激辨别、匹配调整精度及日常生活活动(ADL)表现测试。结果显示,健康对照组的被动速度感知与主动位置感知在排名上呈相关性,但其他感知敏锐度或任务表现间无统计显著相关性。此外,个体在被动与主动速度感知间的敏锐度差异支持肌肉梭形体激活受意识运动指令调节的现有理论。讨论了零相关结果对揭示感知缺陷独立维度的潜力,以及未来结合更多运动学指标与更大样本量进行神经科学研究的启示。
原文摘要 · Abstract (English)
Traditional approaches to measurement in upper-limb therapy have gaps that electronic sensing and recording can help fill. We highlight shortcomings in current kinematic recording devices, and we introduce a wrist sensing device that performs multimodal sensing during single-axis rotation. Our goal is to characterize normative kinesthetic perception and real-world performance as a multimodal sensory "fingerprint" that can serve as a reference point for identifying deficit in persons affected by stroke, and then as a jumping point for later neuroscientific interrogation. We present an experiment involving psychophysical measurements of passive stimuli discrimination, matching adjustment acuity, and ADL performance in 11 neurologically-intact persons. We found that passive velocity sense and active position sense of healthy controls, measured by velocity discrimination and position matching respectively, correlated in rank with each other, but other score comparisons of acuity or task performance had no statistically significant correlations. We also found that participants differed in acuity between passive and active velocity sense, which supports current understanding about muscle spindle activation being modulated by conscious motor command. The potential for our null correlation results to reveal dissociable aspects of deficit is discussed, as well as implications for future neuroscientific study with more kinematic measures and larger datasets.
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