학술논문
Head tremor in cervical dystonia: Quantifying severity with computer vision
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article
Author
Vu, Jeanne P; Cisneros, Elizabeth; Lee, Ha Yeon; Le, Linh; Chen, Qiyu; Guo, Xiaoyan A; Rouzbehani, Ryin; Jankovic, Joseph; Factor, Stewart; Goetz, Christopher G; Barbano, Richard L; Perlmutter, Joel S; Jinnah, Hyder A; Pirio Richardson, Sarah; Stebbins, Glenn T; Elble, Rodger; Comella, Cynthia L; Peterson, David A
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Subject
Language
Abstract
BackgroundHead tremor (HT) is a common feature of cervical dystonia (CD), usually quantified by subjective observation. Technological developments offer alternatives for measuring HT severity that are objective and amenable to automation.ObjectivesOur objectives were to develop CMOR (Computational Motor Objective Rater; a computer vision-based software system) to quantify oscillatory and directional aspects of HT from video recordings during a clinical examination and to test its convergent validity with clinical rating scales.MethodsFor 93 participants with isolated CD and HT enrolled by the Dystonia Coalition, we analyzed video recordings from an examination segment in which participants were instructed to let their head drift to its most comfortable dystonic position. We evaluated peak power, frequency, and directional dominance, and used Spearman's correlation to measure the agreement between CMOR and clinical ratings.ResultsPower averaged 0.90 (SD 1.80) deg2/Hz, and peak frequency 1.95 (SD 0.94) Hz. The dominant HT axis was pitch (antero/retrocollis) for 50%, roll (laterocollis) for 6%, and yaw (torticollis) for 44% of participants. One-sided t-tests showed substantial contributions from the secondary (t = 18.17, p