Meal Assistance System Operated by Electromyogram (EMG) Signals: Movement Onset Detection with Adaptive Threshold
Meal Assistance System Operated by Electromyogram (EMG) Signals: Movement Onset Detection with Adaptive Threshold
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DOI：
10.1007/s12555-010-0226-4
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发表时间：
2010-04-01
影响因子：
3.2
通讯作者：
Nakamura, Masatoshi
中科院分区：
文献类型：
--
作者：
Zhang, Xiu;Wang, Xingyu;Nakamura, Masatoshi
本研究旨在设计一个以肌电讯号运作的助餐系统。该系统由肌电数据采集、发作分析、控制电路和助餐机器人操作四部分组成。提出了一种基于肌电功率的自适应阈值起始点分析算法，并通过控制电路将其应用于机器人的操作。从主观和客观指标两个方面对肌电控制系统的成功率和舒适度进行了测试。实验结果表明，采用自适应阈值的肌电信号起始点检测算法，可以将人体活动肌肉的肌电信号作为仪器的控制信号。肌电信号助餐系统成功率高、舒适性好，是上肢残疾患者助餐的保证。
The objective of this study is to design a meal assistance system operated by electromyogram (EMG) signals. The system consists of four parts, EMG data acquisition, onset analysis, control circuit and operation of meal assistance robot. An algorithm based on EMG power with adaptive threshold is proposed for onset analysis, and applied to the operation of robot via control circuit. The performance of EMG-control system is tested in rate of success and comfort by both subjective and objective indices. The results show EMG signals acquired from active muscles in a human body can be used as control signals for the apparatus, by the proposed onset detection algorithm with adaptive threshold. The high rate of success and comfort of meal assistance system operated by EMG signals guarantee its use for patients with disabled upper limbs.