O'Mahony Niamh, Florentino-Liano Blanca, Carballo Juan J, Baca-García Enrique, Rodríguez Antonio Artés
Department of Signal and Communications Theory, Universidad Carlos III de Madrid, Avda. de la Universidad, 30, Leganés 28911, Spain.
Fundación Jiménez Díaz and Universidad Autónoma (CIBERSAM), Avda. Reyes Católicos, 2, Madrid 28040, Spain.
Med Eng Phys. 2014 Jul;36(7):922-6. doi: 10.1016/j.medengphy.2014.02.023. Epub 2014 Mar 20.
This work proposes the use of miniature wireless inertial sensors as an objective tool for the diagnosis of ADHD. The sensors, consisting of both accelerometers and gyroscopes to measure linear and rotational movement, respectively, are used to characterize the motion of subjects in the setting of a psychiatric consultancy. A support vector machine is used to classify a group of subjects as either ADHD or non-ADHD and a classification accuracy of greater than 95% has been achieved. Separate analyses of the motion data recorded during various activities throughout the visit to the psychiatric consultancy show that motion recorded during a continuous performance test (a forced concentration task) provides a better classification performance than that recorded during "free time".
这项工作提出将微型无线惯性传感器用作诊断注意力缺陷多动障碍（ADHD）的客观工具。这些传感器分别由加速度计和陀螺仪组成，用于测量线性运动和旋转运动，在精神科咨询过程中用于表征受试者的运动情况。使用支持向量机将一组受试者分类为ADHD或非ADHD，已实现了大于95%的分类准确率。对在精神科咨询就诊期间各项活动中记录的运动数据进行的单独分析表明，在连续性能测试（一项强迫注意力集中任务）期间记录的运动比“自由时间”记录的运动具有更好的分类性能。
