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Discriminating Cerebral Palsy by quantifying Ocular motion

机译:通过量化眼睛运动来辨别脑瘫

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Visual disorders are one of the common side problems in Cerebral Palsy (CP) being reported with an incidencebetween 50% to 90% of the cases. These visual disorders may interfere with the developmental process and motorlearning of these children. This work presents a robust method to spatio-temporally characterize the ocularmotion in CP. Smooth pursuit and saccadic eye tasks were assessed by using simple visual stimuli and recordingthe eye trajectories during the task. A dense optical ow estimation of the ocular movement is modulated by avisual attention model which extracts relevant eye motion information. Analyses in time and frequency domainwere performed suggesting statistical differences (p-value < 0.01) in Signal to Noise Ratio (SNR) and Waveletcoefficients for both saccadic and smooth pursuit tasks.
机译:视觉疾病是报告发病率的脑瘫(CP)中的常见问题之一50%至90%的病例。这些视觉障碍可能会干扰发育过程和电机学习这些孩子。这项工作呈现了一种稳健的方法来暂时表征眼部在CP中的运动。通过使用简单的视觉刺激和录音来评估平稳的追求和扫视眼任务任务期间的眼轨迹。密集光学估计眼部运动的估计由a调制视觉注意模型提取相关的眼动信息。分析时间和频域在信号到噪声比(SNR)和小波中表达统计差异(p值<0.01)扫视和平滑追踪任务的系数。

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