Yang Chia-Chi, Su Fong-Chin, Guo Lan-Yuen
Department of Biomedical Engineering, National Cheng-Kung University, Tainan, Taiwan.
Eur Spine J. 2014 Aug;23(8):1743-8. doi: 10.1007/s00586-014-3413-9. Epub 2014 Jun 19.
Mechanical neck disorder is one of the most common health issues. No related observations have applied spectral entropy to explore the smoothness of cervical movement. Therefore, the objectives were to ascertain whether the spectral entropy of time-series linear acceleration could extend to estimate the smoothness of cervical movement and compare the characteristics of the smoothness of cervical movement in patients with mechanical neck pain (MND) with healthy volunteers.
The smoothness of cervical movement during cervical circumduction from 36 subjects (MND: n = 18, asymptomatic: n = 18) was quantified by the spectral entropy of time-series linear acceleration and other speed-dependent parameters, respectively.
Patients with MND showed significantly longer movement time, higher value in the spectral entropy and wider band response in frequency spectrum than healthy volunteers (P = 0.01).
The spectral entropy would be suitable to discriminate the smoothness of cervical movement between patients with MND with healthy volunteers and demonstrated patients with MND had significantly less smooth cervical movement.
颈部机械性疾病是最常见的健康问题之一。尚无相关研究运用频谱熵来探究颈椎运动的平滑度。因此，本研究旨在确定时间序列线性加速度的频谱熵是否可用于评估颈椎运动的平滑度，并比较颈部机械性疼痛（MND）患者与健康志愿者颈椎运动平滑度的特征。
分别通过时间序列线性加速度的频谱熵和其他速度相关参数，对36名受试者（MND组：n = 18，无症状组：n = 18）颈椎环转运动的平滑度进行量化。
与健康志愿者相比，MND患者的运动时间明显更长，频谱熵值更高，频谱带宽响应更宽（P = 0.01）。
频谱熵适用于区分MND患者与健康志愿者颈椎运动的平滑度，且表明MND患者的颈椎运动平滑度明显更低。
