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首页> 外文会议>IEEE International symposium on computer-based medical systems >EMG-Miner: Automatic Acquisition and Processing of Electromyographic Signals: First Experimentation in a Clinical Context for Gait Disorders Evaluation
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EMG-Miner: Automatic Acquisition and Processing of Electromyographic Signals: First Experimentation in a Clinical Context for Gait Disorders Evaluation

机译：EMG-Miner：肌电信号的自动采集和处理：步态障碍评估临床环境中的首次实验

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摘要

In the context of physical medicine and rehabilitation, gait analysis is the "gold standard" for an effective assessment of any problems in the locomotor patterns. Surface electromyography is one of the exams within the protocol of the gait analysis, allowing an assessment of functional limitations in the walking. Considering the Physical Medicine and Rehabilitation Unit of the University of Catanzaro, physicians are limited to a visual analysis of the electromyographic signals coming from the muscles of the lower limbs, to extract useful information for diagnosis and monitoring of treatment. The objective of this work is to provide to specialists a simple and flexible system that allows the extraction of quantitative synthetic parameters in time and frequency domain from EMG signals, in particular we propose a novel EMG data acquisition and processing system, referred as EMG-Miner, that allows the automated acquisition and analysis of EMG signals along the different stages of the rehabilitation process (follow-up) of a patient.
机译：在物理医学和康复领域，步态分析是有效评估运动模式中任何问题的“黄金标准”。表面肌电图检查是步态分析协议中的一项检查，可评估步行中的功能局限性。考虑到卡坦扎罗大学的物理医学和康复科，医生仅限于对来自下肢肌肉的肌电信号进行视觉分析，以提取有用的信息以进行诊断和监测治疗。这项工作的目的是为专家提供一个简单而灵活的系统，该系统允许从EMG信号中提取时域和频域中的定量合成参数，特别是我们提出了一种新颖的EMG数据采集和处理系统，称为EMG-Miner ，可以在患者康复过程的不同阶段（随访）自动获取和分析EMG信号。

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