An Algorithm for Automated Measurement of Kinetic Tremor Magnitude Using Digital Spiral Drawings.

Q1 Computer Science
Digital Biomarkers Pub Date : 2024-07-20 eCollection Date: 2024-01-01 DOI:10.1159/000539529
Katherine Longardner, Qian Shen, Bin Tang, Brenton A Wright, Prantik Kundu, Fatta B Nahab
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引用次数: 0

Abstract

Introduction: Essential tremor is a common movement disorder. Numerous validated clinical rating scales exist to quantify essential tremor severity by employing rater-dependent visual observation but have limitations, including the need for trained human raters and the lack of precision and sensitivity compared to technology-based objective measures. Other continuous objective methods to quantify tremor amplitude have been developed, but frequently provide unitless measures (e.g., tremor power), limiting real-world interpretability. We propose a novel algorithm to measure kinetic tremor amplitude using digital spiral drawings, applying the V3 framework (sensor verification, analytical validation, and clinical validation) to establish reliability and clinical utility.

Methods: Archimedes spiral drawings were recorded on a digitizing tablet from participants (n = 7) enrolled in a randomized placebo control double-blinded crossover pilot trial evaluating the efficacy of oral cannabinoids in reducing essential tremor. We developed an algorithm to calculate the mean and maximum tremor amplitude derived from the spiral tracings. We compared the digitally measured tremor amplitudes to manual measurement to evaluate sensor reliability, determined the test-retest reliability of the digital output across two short-interval repeated measures, and compared the digital measure to kinetic tremor severity graded using The Essential Tremor Rating Assessment Scale (TETRAS) score for spiral drawings.

Results: This algorithm for automated assessment of kinetic tremor amplitude from digital spiral tracings demonstrated a high correlation with manual spot measures of tremor amplitude, excellent test-retest reliability, and a high correlation with human ratings of the TETRAS score for spiral drawing severity when the tremor severity was rated "slight tremor" or worse.

Discussion: This digital measure provides a simple and clinically relevant evaluation of kinetic tremor amplitude that shows promise as a potential future endpoint for use in clinical trials of essential tremor.

使用数字螺旋绘图自动测量动力震颤幅度的算法。
简介本质性震颤是一种常见的运动障碍。目前有许多经过验证的临床评分量表,可通过依赖于评分者的视觉观察来量化本质性震颤的严重程度,但这些量表都存在局限性,包括需要训练有素的人类评分者,以及与基于技术的客观测量相比缺乏精确性和灵敏度。其他量化震颤振幅的连续客观方法也已开发出来,但经常提供无单位的测量值(如震颤功率),限制了对现实世界的解释能力。我们提出了一种利用数字螺旋图测量运动性震颤振幅的新型算法,并应用 V3 框架(传感器验证、分析验证和临床验证)来确定其可靠性和临床实用性:参加随机安慰剂对照双盲交叉试验的参与者(n = 7)用数字化平板电脑记录了阿基米德螺旋图,该试验评估了口服大麻素对减轻本质性震颤的疗效。我们开发了一种算法,用于计算从螺旋轨迹中得出的平均和最大震颤幅度。我们将数字测量的震颤振幅与人工测量的震颤振幅进行了比较,以评估传感器的可靠性,确定了两次短间隔重复测量中数字输出的测试-再测试可靠性,并将数字测量结果与使用本质性震颤分级评估量表(TETRAS)对螺旋描记图进行评分的本质性震颤严重程度进行了比较:这种通过数字螺旋描记图自动评估运动性震颤振幅的算法与震颤振幅的人工定点测量结果具有很高的相关性、极好的测试-再测可靠性,并且在震颤严重程度被评为 "轻微震颤 "或更严重时,与螺旋描记图严重程度的 TETRAS 评分的人工评分具有很高的相关性:讨论:这种数字测量方法提供了一种简单且与临床相关的运动性震颤振幅评估,有望成为未来用于本质性震颤临床试验的潜在终点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Digital Biomarkers
Digital Biomarkers Medicine-Medicine (miscellaneous)
CiteScore
10.60
自引率
0.00%
发文量
12
审稿时长
23 weeks
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