[Research Progress in Data Acquisition and Intelligent Sensing Methods for Lumbar Electromyographic Signals]
- PMID: 38605608
- DOI: 10.12455/j.issn.1671-7104.240014
[Research Progress in Data Acquisition and Intelligent Sensing Methods for Lumbar Electromyographic Signals]
Abstract
Population aging trend is taking place in our country, and low back pain is a symptom of neuromuscular diseases of concern in the elderly. Accurately analyzing the disease of low back pain is important for both timely intervention and rehabilitation of patients. As a kind of bioelectrical signal, the acquisition and analysis of lumbar electromyography (EMG) signal is an important direction for the study of low back pain. The study reviews the acquisition of lumbar EMG by different types of sensors, introduces the signal characteristics of needle electrodes, surface electromyography electrodes and array electrodes, describes the use of signal algorithms, points out that wireless sensors and the use of deep learning algorithms are the direction of development, and puts forward prospects for its further development.
我国面临人口老龄化趋势，腰痛是老年人关注的神经肌肉类疾病症状。准确地分析腰痛的病因，对患者及时介入治疗和康复有重要意义。腰部肌肉电信号作为一种生物电信号，对其进行采集和分析是研究腰痛的重要方向。该文综述了不同类型传感器对腰部信号的采集方式，介绍了针电极、表面肌电电极和阵列电极的信号特点，概述了信号处理算法的使用情况，指出无线化传感和运用深度学习算法是发展方向，并对其进一步的发展提出展望。.
Keywords: electromyography signal; intelligent sensing; low back pain.