在并行超低功率处理器上的自适应ICA的sEMG信号的实时电机单元跟踪
IEEE transactions on biomedical circuits and systems
|June 7, 2024
概括
这项研究引入了一种新的方法,用于跟踪动力单元 (MU) 在动态手势时的放电,使用自适应的独立组件分析 (ICA). 该方法在手势识别方面实现了高精度,并证明了可穿戴肌电控制的高效边缘部署.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 神经科学是一个神经科学.
背景情况:
- 表面电肌图 (sEMG) 信号包含有价值的运动单元 (MU) 信息,用于肌肉收缩分析.
- 目前用于MU提取的盲源分离 (BSS) 方法仅限于同度收缩,阻碍了现实世界的应用.
- 在动态运动期间跟踪MU对于先进的肌电控制系统至关重要.
研究的目的:
- 开发和验证使用自适应的独立组件分析 (ICA) 在动态手势中跟踪MU的策略.
- 为了在非同度运动期间从sEMG信号中实现准确的手势识别.
- 评估在超低功耗边缘微控制器上部署开发的sEMG处理技术的可行性.
主要方法:
- 通过在线更新分解参数来跟踪动态手势期间的MU,采用了自适应ICA.
- 一个 Pan-Tompkins 启发的算法被用于在已识别的 MU 信号中检测尖端.
- 使用检测到的MU尖峰用于手势识别,训练了一个分类器.
- 该系统在一个包含7种手势和休息条件的16通道干式sEMG腕带数据集上进行了验证.
主要成果:
- 拟议的方法实现了平均平衡精度为85.58±14.91%和宏观F1得分为85.86±14.48%的手势识别.
- 该解决方案成功地部署在GAP9超低功率微控制器上.
- 边缘部署导致低能耗 (4.72 mJ @ 240 MHz) 和最小的延迟 (121.3 ms 每 200 ms 窗口).
结论:
- 适应性ICA提供了一种有效的策略,用于在动态手势时跟踪动力单元.
- 开发的系统可实现基于sEMG的准确手势识别,用于可穿戴界面的潜在使用.
- 高效的边缘实施突出了实时,低功耗的肌电控制应用的潜力.
相关概念视频
00:46Motor Units
A motor unit consists of two main components: a single efferent motor neuron (i.e., a neuron that carries impulses away from the central nervous system) and all of the muscle fibers it innervates. The motor neuron may innervate multiple muscle fibers, which are single cells, but only one motor neuron innervates a single muscle fiber.
01:13Motor Units
The motor unit is a fundamental component of the neuromuscular system and plays a crucial role in coordinating muscle contractions. It consists of a somatic motor neuron, which connects and controls multiple skeletal muscle fibers, forming a single functional segment. The axon of the motor neuron branches out and establishes synaptic connections known as neuromuscular junctions with individual muscle fibers within the motor unit.
Motor units come in different sizes, with smaller units...
Motor units come in different sizes, with smaller units...
01:20Motor Unit Stimulation
When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...