61/122 GHz有源标签双通道FMCW谐波雷达相位步态参数监测

IF 3.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Patrick Kwiatkowski;Steffen Hansen;Alexander Orth;Francisco Geu Flores;Falko Heitzer;Nils Pohl
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引用次数: 0

摘要

关节置换手术或其他影响肌肉骨骼系统的医疗程序后的优化康复需要实用的运动分析系统,能够在日常生活中对患者进行连续和精确的步态监测。为了满足这一需求,我们提出了一个由调频连续波(FMCW)雷达传感器和有源倍频标签组成的系统,旨在进行精确的长期监测。通过使用谐波测量概念,其中标签将收发信号的频率加倍,实现了高信噪比(SINR),确保标签从腿产生的杂波中清晰地脱颖而出。在我们的系统中,我们特别关注矢状面内基于相位的角度确定,通过两个紧密间隔的接收天线实现,与之前基于双边方法的系统相比,可以更准确、更可靠地监测步态。通过利用56-63 GHz频率范围内的毫米波进行传输,112-126 GHz频率范围内的毫米波进行接收,我们实现了一个紧凑的传感器尺寸,足以满足应用需求。基于在步态实验室进行的测量,我们证明了我们的系统能够在步态过程中测量传感器和标签之间的距离和角度,精度分别高达1.73 mm和0.93°,使用基于固定摄像机的运动捕捉(MoCap)系统作为参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual-Channel FMCW Harmonic Radar With Active Tags at 61/122 GHz for Phase-Based Gait Parameter Monitoring
Optimized rehabilitation after joint replacement surgery or other medical procedures affecting the musculoskeletal system requires practical movement analysis systems that enable the continuous and precise gait monitoring of patients in everyday life. To address this need, we present a system consisting of a frequency-modulated continuous-wave (FMCW) radar sensor and active frequency-doubling tags designed for accurate long-term monitoring. By using a harmonic measurement concept in which the tags double the frequency of the transceiver signal, a high signal-to-interference-and-noise ratio (SINR) is achieved, ensuring that the tags stand out clearly from the clutter produced by the leg. With our system, we particularly focus on a phase-based angle determination within the sagittal plane, enabled by two closely spaced receive antennas, allowing for more accurate and reliable gait monitoring compared to our previous system based on a bilateration method. By utilizing millimeter waves in the frequency range 56-63 GHz for transmission and 112-126 GHz for reception, we achieve a compact sensor size sufficient for the application. Based on measurements taken in a gait laboratory, we demonstrate that our system is capable of measuring the distance and angle between the sensor and tags during gait with an accuracy of up to 1.73 mm and 0.93°, respectively, using a stationary camera-based motion capture (MoCap) system as a reference.
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