A Pilot Study to Assess the Reliability of Sensing Joint Acoustic Emissions of the Wrist
A Pilot Study to Assess the Reliability of Sensing Joint Acoustic Emissions of the Wrist
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DOI：
10.3390/s20154240
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发表时间：
2020-08-01
期刊：
影响因子：
3.9
通讯作者：
Inan, Omer T.
中科院分区：
文献类型：
--
作者：
Hochman, Daniel M.;Gharehbaghi, Sevda;Inan, Omer T.
关节声发射(JAE)检测是一种可行的非侵入性量化检测膝关节健康的方法。在这项工作中，我们采用声发射传感方法来测量手腕的JAE-另一个经常受到损伤和退行性疾病影响的关节。将灵敏的单轴加速度计放置在手腕周围的8个位置，记录了7名健康志愿者在手腕屈伸和旋转过程中的JAE。对声学数据进行带通滤波(150 Hz~20 kHz)。使用信噪比(SNR)来量化每次记录中JAE信号的强度。然后，提取9个音频特征，并计算类内相关系数(ICC)(模型3，k)、变异系数(CVs)和Jensen-Shannon(JS)离散度来评估信号在评价者之间的可重复性。结果显示：信噪比为4.1~9.8d B，间歇和间歇IC值为0.629~0.886，变异系数为0.099~0.241，JS离散度为0.18~0.2 0，三个部位的JAE重复性和信号强度均较高。志愿者样本量不足以代表对更大人群的JAE分析，但这项工作将为未来使用腕部JAE帮助诊断和治疗跟踪可穿戴系统中的肌肉骨骼病理和损伤奠定基础。
Joint acoustic emission (JAE) sensing has recently proven to be a viable technique for non-invasive quantification indicating knee joint health. In this work, we adapt the acoustic emission sensing method to measure the JAEs of the wrist-another joint commonly affected by injury and degenerative disease. JAEs of seven healthy volunteers were recorded during wrist flexion-extension and rotation with sensitive uniaxial accelerometers placed at eight locations around the wrist. The acoustic data were bandpass filtered (150 Hz-20 kHz). The signal-to-noise ratio (SNR) was used to quantify the strength of the JAE signals in each recording. Then, nine audio features were extracted, and the intraclass correlation coefficient (ICC) (model 3,k), coefficients of variability (CVs), and Jensen-Shannon (JS) divergence were calculated to evaluate the interrater repeatability of the signals. We found that SNR ranged from 4.1 to 9.8 dB, intrasession and intersession ICC values ranged from 0.629 to 0.886, CVs ranged from 0.099 to 0.241, and JS divergence ranged from 0.18 to 0.20, demonstrating high JAE repeatability and signal strength at three locations. The volunteer sample size is not large enough to represent JAE analysis of a larger population, but this work will lay a foundation for future work in using wrist JAEs to aid in diagnosis and treatment tracking of musculoskeletal pathologies and injury in wearable systems.