Rabah Ayah, Le Boterff Quentin, Carment Loïc, Bendjemaa Narjes, Térémetz Maxime, Dupin Lucile, Cuenca Macarena, Mas Jean-Louis, Krebs Marie-Odile, Maier Marc A, Lindberg Påvel G
Institut de Psychiatrie et Neurosciences de Paris, Inserm U1266, Université Paris Cité, 75014, Paris, France.
Centre de Recherche Clinique, GHU, GHU Paris Psychiatrie & Neurosciences, 75014, Paris, France.
J Neuroeng Rehabil. 2022 Mar 24;19(1):35. doi: 10.1186/s12984-022-01011-9.
We developed five tablet-based tasks (applications) to measure multiple components of manual dexterity.
to test reliability and validity of tablet-based dexterity measures in healthy participants.
Tasks included: (1) Finger recognition to assess mental rotation capacity. The subject taps with the finger indicated on a virtual hand in three orientations (reaction time, correct trials). (2) Rhythm tapping to evaluate timing of finger movements performed with, and subsequently without, an auditory cue (inter-stimulus interval). (3) Multi-finger tapping to assess independent finger movements (reaction time, correct trials, unwanted finger movements). (4) Sequence tapping to assess production and memorization of visually cued finger sequences (successful taps). (5) Line-tracking to assess movement speed and accuracy while tracking an unpredictably moving line on the screen with the fingertip (duration, error). To study inter-rater reliability, 34 healthy subjects (mean age 35 years) performed the tablet tasks twice with two raters. Relative reliability (Intra-class correlation, ICC) and absolute reliability (Standard error of measurement, SEM) were established. Task validity was evaluated in 54 healthy subjects (mean age 49 years, range: 20-78 years) by correlating tablet measures with age, clinical dexterity assessments (time taken to pick-up objects in Box and Block Test, BBT and Moberg Pick Up Test, MPUT) and with measures obtained using a finger force-sensor device.
Most timing measures showed excellent reliability. Poor to excellent reliability was found for correct trials across tasks, and reliability was poor for unwanted movements. Inter-session learning occurred in some measures. Age correlated with slower and more variable reaction times in finger recognition, less correct trials in multi-finger tapping, and slower line-tracking. Reaction times correlated with those obtained using a finger force-sensor device. No significant correlations between tablet measures and BBT or MPUT were found. Inter-task correlation among tablet-derived measures was weak.
Most tablet-based dexterity measures showed good-to-excellent reliability (ICC ≥ 0.60) except for unwanted movements during multi-finger tapping. Age-related decline in performance and association with finger force-sensor measures support validity of tablet measures. Tablet-based components of dexterity complement conventional clinical dexterity assessments. Future work is required to establish measurement properties in patients with neurological and psychiatric disorders.
我们开发了五项基于平板电脑的任务(应用程序)来测量手动灵巧性的多个组成部分。
测试基于平板电脑的灵巧性测量方法在健康受试者中的可靠性和有效性。
任务包括:(1)手指识别,用于评估心理旋转能力。受试者用手指点击虚拟手上指示的三个方向的手指(反应时间、正确试验次数)。(2)节奏点击,用于评估在有和随后没有听觉提示的情况下手指运动的时间(刺激间隔)。(3)多指点击,用于评估独立手指运动(反应时间、正确试验次数、不必要的手指运动)。(4)序列点击,用于评估视觉提示的手指序列的产生和记忆(成功点击次数)。(5)线条跟踪,用于评估用指尖跟踪屏幕上不可预测移动的线条时的运动速度和准确性(持续时间、误差)。为研究评分者间信度,34名健康受试者(平均年龄35岁)由两名评分者进行两次平板电脑任务。建立了相对信度(组内相关系数,ICC)和绝对信度(测量标准误,SEM)。通过将平板电脑测量结果与年龄、临床灵巧性评估(箱框测试BBT和Moberg拾物测试MPUT中捡起物体所需时间)以及使用手指力传感器设备获得的测量结果相关联,对54名健康受试者(平均年龄49岁,范围:20 - 78岁)进行任务效度评估。
大多数时间测量显示出极好的信度。各任务的正确试验次数的信度从差到极好,不必要运动的信度较差。在一些测量中出现了会话间学习。年龄与手指识别中较慢且变化较大的反应时间、多指点击中较少的正确试验次数以及较慢的线条跟踪相关。反应时间与使用手指力传感器设备获得的反应时间相关。未发现平板电脑测量结果与BBT或MPUT之间存在显著相关性。基于平板电脑的测量结果之间的任务间相关性较弱。
除了多指点击过程中的不必要运动外,大多数基于平板电脑的灵巧性测量显示出良好到极好的信度(ICC≥0.60)。与年龄相关的性能下降以及与手指力传感器测量的关联支持了平板电脑测量的效度。基于平板电脑的灵巧性组成部分补充了传统的临床灵巧性评估。未来需要开展工作以确定神经和精神疾病患者的测量特性。