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如何确定手部振动感觉阈值——一项系统综述

How to determine hands' vibration perception thresholds - a systematic review.

作者信息

Silva Emanuel, Lisboa Isabel C, Costa Nélson

机构信息

Algoritmi Research Centre, University of Minho, Campus de Azurém, 4800-058, Guimarães, Portugal.

NOVA School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisbon, 1099-085, Lisbon, Portugal.

出版信息

Behav Res Methods. 2024 Dec 28;57(1):27. doi: 10.3758/s13428-024-02534-w.

Abstract

The vibration perception threshold (VPT) is the minimum amplitude required for conscious vibration perception. VPT assessments are essential in medical diagnostics, safety, and human-machine interaction technologies. However, factors like age, health conditions, and external variables affect VPTs. Various methodologies and distinct procedures have been used to access VPTs, leading to challenges in establishing standardized protocols. Following the PRISMA methodology, this systematic review was conducted to answer the research question: "How are vibration perception thresholds assessed on the glabrous skin of the hands and fingers of healthy humans?" Searches were conducted across five databases to locate recent studies reporting data from VPT assessments, published in English, between 2012 and 2023. Thirty-nine studies met the inclusion criteria. Data on study goals and various methodological aspects was categorized and analyzed. Information gaps were identified, and this review offers recommendations for future studies to enhance standardization and facilitate data comparison. This review also suggests directions for future research, aiming to improve our understanding of how humans perceive haptic information.

摘要

振动觉阈值(VPT)是有意识地感知振动所需的最小振幅。VPT评估在医学诊断、安全和人机交互技术中至关重要。然而,年龄、健康状况和外部变量等因素会影响VPT。人们使用了各种方法和不同的程序来获取VPT,这导致在建立标准化方案方面存在挑战。遵循PRISMA方法,进行了这项系统评价,以回答研究问题:“如何评估健康人手部和手指无毛皮肤上的振动觉阈值?”在五个数据库中进行了检索,以查找2012年至2023年间发表的、以英文报道VPT评估数据的近期研究。39项研究符合纳入标准。对研究目标和各种方法学方面的数据进行了分类和分析。识别出了信息空白,本评价为未来研究提供了建议,以加强标准化并促进数据比较。本评价还提出了未来研究的方向,旨在增进我们对人类如何感知触觉信息的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e1e/11682013/0be386439329/13428_2024_2534_Fig1_HTML.jpg

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