Shokouhyan Seyed Mohammadreza, Davoudi Mehrdad, Hoviattalab Maryam, Abedi Mohsen, Bervis Soha, Parnianpour Mohamad, Brumagne Simon, Khalaf Kinda
Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran.
Clinic for Orthopaedics and Trauma Surgery, Heidelberg University Hospital, Heidelberg, Germany.
Front Bioeng Biotechnol. 2022 Dec 13;10:1078805. doi: 10.3389/fbioe.2022.1078805. eCollection 2022.
The central nervous system (CNS) dynamically employs a sophisticated weighting strategy of sensory input, including vision, vestibular and proprioception signals, towards attaining optimal postural control during different conditions. Non-specific low back pain (NSLBP) patients frequently demonstrate postural control deficiencies which are generally attributed to challenges in proprioceptive reweighting, where they often rely on an ankle strategy regardless of postural conditions. Such impairment could lead to potential loss of balance, increased risk of falling, and Low back pain recurrence. In this study, linear and non-linear indicators were extracted from center-of-pressure (COP) and trunk sagittal angle data based on 4 conditions of vibration positioning (vibration on the back, ankle, none or both), 2 surface conditions (foam or rigid), and 2 different groups (healthy and non-specific low back pain patients). Linear discriminant analysis (LDA) was performed on linear and non-linear indicators to identify the best sensory condition towards accurate distinction of non-specific low back pain patients from healthy controls. Two indicators: Phase Plane Portrait and Entropy with foam surface condition and both ankle and back vibration on, were able to completely differentiate the non-specific low back pain groups. The proposed methodology can help clinicians quantitatively assess the sensory status of non-specific low back pain patients at the initial phase of diagnosis and throughout treatment. Although the results demonstrated the potential effectiveness of our approach in Low back pain patient distinction, a larger and more diverse population is required for comprehensive validation.
中枢神经系统（CNS）动态地采用一种复杂的感觉输入加权策略，包括视觉、前庭和本体感觉信号，以便在不同条件下实现最佳的姿势控制。非特异性下腰痛（NSLBP）患者经常表现出姿势控制缺陷，这通常归因于本体感觉重新加权方面的挑战，即无论姿势条件如何，他们往往依赖踝关节策略。这种损伤可能导致潜在的平衡丧失、跌倒风险增加以及下腰痛复发。在本研究中，基于4种振动定位条件（背部、脚踝、无振动或两者均有振动）、2种表面条件（泡沫或刚性）以及2个不同组（健康组和非特异性下腰痛患者组），从压力中心（COP）和躯干矢状角数据中提取线性和非线性指标。对线性和非线性指标进行线性判别分析（LDA），以确定能够准确区分非特异性下腰痛患者与健康对照的最佳感觉条件。两个指标：在泡沫表面条件且脚踝和背部均有振动的情况下的相平面图和熵，能够完全区分非特异性下腰痛组。所提出的方法可以帮助临床医生在诊断初期和整个治疗过程中定量评估非特异性下腰痛患者的感觉状态。尽管结果表明我们的方法在区分下腰痛患者方面具有潜在有效性，但需要更大且更多样化的人群进行全面验证。
