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Eye Blink Detection for the Implantable System for Functional Restoration of Orbicularis Oculi Muscle

机译:用于植入系统的眼睛闪烁检测orbicularis Oculi肌肉功能恢复

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In this work, the blink detection algorithm for an embedded closed-loop system for a restoration of facial muscle functions in the case of unilateral facial nerve paralysis is proposed. The algorithm is based on a real-time assessment of a spectral power of the electromyographic signal, which is recorded from the orbicularis oculi muscle with implanted needle electrodes on the healthy side of the patient's face. Once a blink is detected, the stimulation command is sent to the module of the functional electrical stimulation, which elicits the contraction of muscles on the paralyzed side of the face. The algorithm was tested on the electromyographic signals, which were recorded from the orbicularis oculi muscle of the healthy subject performing daily routine activity tasks (head movements, vocalization, etc). The resulting 93% sensitivity and 63% precision values are obtained.
机译:在这项工作中,提出了在单侧面部神经麻痹的情况下恢复面部肌肉功能的嵌入式闭环系统的眨眼检测算法。该算法基于对电拍摄信号的光谱功率的实时评估,其从患者脸部的健康侧的植入针电极从植入的针电极记录。一旦检测到眨眼,刺激命令被发送到功能电刺激的模块,这引起了面部瘫痪侧的肌肉的收缩。该算法在电拍摄信号上进行了测试,这些信号从健康主题的orbicularis oculi肌肉记录,执行日常常规活动任务(头部运动,发声等)。得到的93%灵敏度和63%的精度值。

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