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基于智能手机的手指敲击测试数据集。

Dataset of Smartphone-Based Finger Tapping Test.

机构信息

Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil.

Núcleo de Teoria e Pesquisa do Comportamento, Universidade Federal do Pará, Belém, Brazil.

出版信息

Sci Data. 2024 Nov 21;11(1):1263. doi: 10.1038/s41597-024-04052-y.

DOI:10.1038/s41597-024-04052-y
PMID:39572556
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11582313/
Abstract

The finger tapping test (FTT) is a neuropsychological test that measures motor speed and coordination. It involves tapping a designated surface with a specific finger as quickly as possible for a certain duration. Touchscreen of smartphones has been used as interface to record the tap, what enables to extract information about the taps. The present study represents an initiative of construction for a national Database of Smartphone-Based FTT, which includes data from 176 healthy male and female adults ranging in age from 18 to 74 years. Participants were asked to perform the FTT using one or both hands, tapping on a central area of a smartphone as many times as possible within a 30-second interval. Data were extracted using an Android application, encompassing details such as touch timing, spatial coordinates, sex, smartphone model, hand used, and age. A Python-developed web visualization tool for individual and averaged analysis. This database serves as informative foundation for a healthy adult sample and supports further exploration and international comparative analyses of FTT performance.

摘要

指节敲击测试(FTT)是一种神经心理学测试,用于测量运动速度和协调性。它要求测试者以最快速度用特定手指敲击指定表面,持续特定时长。智能手机的触屏被用作记录敲击的界面,这使得我们能够提取关于敲击的信息。本研究代表了构建基于智能手机的 FTT 国家数据库的一项倡议,该数据库包含了来自 176 名健康男性和女性成年人的数据,年龄在 18 岁至 74 岁之间。参与者被要求使用一只或两只手进行 FTT,在 30 秒的时间内尽可能多地在智能手机的中央区域敲击。数据是使用一个 Android 应用程序提取的,其中包括触摸时间、空间坐标、性别、智能手机型号、使用的手以及年龄等详细信息。还开发了一个基于 Python 的用于个体和平均分析的网络可视化工具。该数据库为健康成年人样本提供了信息基础,并支持对 FTT 性能的进一步探索和国际比较分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/113e/11582313/ddb1058b283f/41597_2024_4052_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/113e/11582313/e9103ade7232/41597_2024_4052_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/113e/11582313/ddb1058b283f/41597_2024_4052_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/113e/11582313/e9103ade7232/41597_2024_4052_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/113e/11582313/ddb1058b283f/41597_2024_4052_Fig2_HTML.jpg

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本文引用的文献

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The role of sex and handedness in the performance of the smartphone-based Finger-Tapping Test.性别和用手习惯在基于智能手机的手指敲击测试表现中的作用。
PLOS Digit Health. 2023 Aug 16;2(8):e0000304. doi: 10.1371/journal.pdig.0000304. eCollection 2023 Aug.
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A smartphone-based tapping task as a marker of medication response in Parkinson's disease: a proof of concept study.基于智能手机的敲击任务作为帕金森病药物反应的标志物:概念验证研究。
J Neural Transm (Vienna). 2023 Jul;130(7):937-947. doi: 10.1007/s00702-023-02659-w. Epub 2023 Jun 2.
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Evaluating the Use of Digital Biomarkers to Test Treatment Effects on Cognition and Movement in Patients with Lewy Body Dementia.
评估数字生物标志物在测试路易体痴呆患者认知和运动治疗效果中的应用。
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Vision-Based Finger Tapping Test in Patients With Parkinson's Disease via Spatial-Temporal 3D Hand Pose Estimation.通过时空三维手部姿势估计对帕金森病患者进行基于视觉的手指敲击测试。
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Finger Tapping as a Biomarker to Classify Cognitive Status in 80+-Year-Olds.手指敲击作为一种生物标志物用于对80岁及以上老人的认知状态进行分类。
J Pers Med. 2022 Feb 15;12(2):286. doi: 10.3390/jpm12020286.
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Developing and assessing a new web-based tapping test for measuring distal movement in Parkinson's disease: a Distal Finger Tapping test.开发和评估一种新的基于网络的敲击测试,用于测量帕金森病的远端运动:远端手指敲击测试。
Sci Rep. 2022 Jan 10;12(1):386. doi: 10.1038/s41598-021-03563-7.
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A Validation Study of a Smartphone-Based Finger Tapping Application for Quantitative Assessment of Bradykinesia in Parkinson's Disease.一项基于智能手机的手指敲击应用程序对帕金森病运动迟缓进行定量评估的验证研究。
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Computerized measures of finger tapping: effects of hand dominance, age, and sex.手指敲击的计算机化测量:利手、年龄和性别的影响。
Percept Mot Skills. 2013 Jun;116(3):929-52. doi: 10.2466/25.29.PMS.116.3.929-952.