Centro Universitário Internacional Uninter, Curitiba 80020-000, PR, Brazil.
Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba 80215-901, PR, Brazil.
Sensors (Basel). 2024 Aug 15;24(16):5276. doi: 10.3390/s24165276.
(1) Background: The Modified Ashworth Scale (MAS) is commonly used clinically to evaluate spasticity, but its qualitative nature introduces subjectivity. We propose a novel metric scale to quantitatively measure spasticity using mechanomyography (MMG) to mitigate these subjective effects. (2) Methods: The flexor and extensor muscles of knee and elbow joints were assessed with the Modified Ashworth Scale (MAS) during the acquisition of mechanomyography (MMG) data. The median absolute amplitude of the MMG signals was utilized as a key descriptor. An algorithm was developed to normalize the MMG signals to a universal gravitational (G) acceleration scale, aligning them with the limits and range of MAS. (3) Results: We evaluated 34 lower and upper limbs from 22 volunteers (average age 39.91 ± 13.77 years) of both genders. Polynomial regression provided the best fit (R = 0.987), with negligible differences (mean of 0.001 G) between the MAS and MMG. We established three numerical sets for the median, minimum, and maximum MMG(G) values corresponding to each MAS range, ensuring consistent alignment of the Modified Ashworth levels with our proposed scale. (4) Conclusions: Muscle spasticity can now be quantitatively and semi-automatically evaluated using our algorithm and instrumentation, enhancing the objectivity and reliability of spasticity assessments.
(1) 背景:改良 Ashworth 量表(MAS)常用于临床评估痉挛,但由于其定性性质,存在主观性。我们提出了一种新的度量量表,使用肌动描记术(MMG)来定量测量痉挛,以减轻这些主观影响。
(2) 方法:在获取肌动描记术(MMG)数据期间,评估膝关节和肘关节的屈肌和伸肌,使用 MMG 信号的中值绝对幅度作为关键描述符。开发了一种算法将 MMG 信号归一化为通用重力(G)加速度标度,使它们与 MAS 的限制和范围对齐。
(3) 结果:我们评估了 22 名志愿者的 34 个上下肢(平均年龄 39.91±13.77 岁),包括男女。多项式回归提供了最佳拟合(R = 0.987),MAS 和 MMG 之间的差异可以忽略不计(均值为 0.001G)。我们为每个 MAS 范围建立了三个中值、最小值和最大值 MMG(G)值的数值集,确保与我们提出的量表一致地对齐改良 Ashworth 级别。
(4) 结论:现在可以使用我们的算法和仪器对肌肉痉挛进行定量和半自动评估,提高了痉挛评估的客观性和可靠性。