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首页> 外文期刊>Parkinsonism & related disorders >Automated assessment of levodopa-induced dyskinesia: Evaluating the responsiveness of video-based features
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Automated assessment of levodopa-induced dyskinesia: Evaluating the responsiveness of video-based features

机译:左旋多巴诱导的障碍的自动评估:评估基于视频的功能的响应性

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Introduction: Technological solutions for quantifying Parkinson's disease (PD) symptoms may provide an objective means to track response to treatment, including side effects such as levodopa-induced dyskinesia. Vision based systems are advantageous as they do not require physical contact with the body and have minimal instrumentation compared to wearables. We have developed a vision-based system to quantify a change in dyskinesia as reported by patients using 2D videos of clinical assessments during acute levodopa infusions.
机译:介绍:用于量化帕金森病(PD)症状的技术解决方案可以提供追踪治疗的响应的客观手段,包括左常会诱导的腹膜瘤的副作用。 基于视觉的系统是有利的,因为它们不需要与主体的物理接触并与可穿戴物相比具有最小仪器。 我们开发了基于视觉的系统,以量化患者在急性左旋多巴输液期间使用2D临床评估视频报告的患者的患者的变化。

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