Toward Noncontact Muscle Activity Estimation Using FMCW Radar

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Kukhokuhle Tsengwa;Stephen Paine;Fred Nicolls;Yumna Albertus;Amir Patel
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Abstract

Surface electromyography (sEMG) and ultrasound-based sonomyography (SMG) are established muscle activity monitoring techniques. However, both modalities require contact with the skin and are thus potentially uncomfortable and time-consuming to use. In this article, we propose a novel noncontact muscle activity monitoring approach that measures the muscle deformation signal using a frequency-modulated continuous wave (FMCW) mmWave radar which we call radiomyography (RMG). The RMG signal is a specific sequence of phase samples in the radar return, obtained through a series of operations: range bin selection, dc offset correction, arctangent demodulation, and phase unwrapping. We find that the RMG signal highly correlates with the sEMG signal across time, making RMG a reliable method for monitoring muscle activity. We also establish that our signal contains some characteristic features of the muscle deformation signal that are well known in biomechanics. Our main contribution is the proposal, development, and proof-of-concept usage of a novel noncontact muscle activity monitoring approach. This opens muscle activity monitoring up for use in rehabilitation, high-intensity contact sports analytics, performance arts, remote health monitoring, and wildlife healthcare and research. To the best of the authors’ knowledge, our approach is the first to measure the characteristic dimensional changes of muscles in vivo and without contact.
利用 FMCW 雷达实现非接触式肌肉活动估算
表面肌电图(sEMG)和超声波声测肌电图(SMG)是成熟的肌肉活动监测技术。然而,这两种模式都需要与皮肤接触,因此使用起来可能会不舒服且耗时。在这篇文章中,我们提出了一种新颖的非接触式肌肉活动监测方法,即使用频率调制连续波(FMCW)毫米波雷达测量肌肉变形信号,我们称之为射线肌电图(RMG)。RMG 信号是雷达回波中特定的相位采样序列,通过一系列操作获得:范围仓选择、直流偏移校正、正余弦解调和相位解包。我们发现 RMG 信号与 sEMG 信号在时间上高度相关,这使得 RMG 成为监测肌肉活动的可靠方法。我们还确定,我们的信号包含生物力学中众所周知的肌肉变形信号的一些特征。我们的主要贡献在于提出、开发和概念验证了一种新颖的非接触式肌肉活动监测方法。这为肌肉活动监测在康复、高强度接触运动分析、表演艺术、远程健康监测以及野生动物医疗保健和研究中的应用开辟了道路。据作者所知,我们的方法是第一种测量体内非接触式肌肉特征尺寸变化的方法。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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