Chen Po-Yin, Chou Li-Wei, Jheng Ying-Chun, Huang Shih-En, Li Lieber Po-Hung, Yu Chung-Huang, Kao Chung-Lan
Department of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, Taiwan.
Department of Physical Medicine and Rehabilitation, Taipei Veterans General Hospital, Taipei, Taiwan.
Front Neurol. 2020 Jun 12;11:485. doi: 10.3389/fneur.2020.00485. eCollection 2020.
To evaluate vestibular function in the clinic, current assessments are applied under static conditions, such as with the subject in a sitting or supine position. Considering the complexities of daily activities, the combination of dynamic activities, dynamic visual acuity (DVA) and postural control could produce an evaluation that better reflects vestibular function in daily activities. To develop a novel sensor-based system to investigate DVA, walking trajectory, head and trunk movements and the chest-pelvis rotation ratio during forward and backward overground walking in both healthy individuals and patients with vestibular hypofunction. Fifteen healthy subjects and 7 patients with bilateral vestibular hypofunction (BVH) were recruited for this study. Inertial measurement units were placed on each subject's head and torso. Each subject walked forward and backward for 5 m twice with 2 Hz head yaw. Our experiment comprised 2 stages. In stage 1, we measured forward (FW), backward (BW), and medial-lateral (MLW) walking trajectories; head and trunk movements; and the chest-pelvis rotation ratio. In stage 2, we measured standing and locomotion DVA (loDVA). Using Mann-Whitney -test, we compared the abovementioned parameters between the 2 groups. Patients exhibited an in-phase chest/pelvis reciprocal rotation ratio only in FW. The walking trajectory deviation, calculated by normalizing the summation of medial-lateral swaying with 1/2 body height (%), was significantly larger (FW mean ± standard deviation: 20.4 ± 7.1% (median (M)/interquartile range (IQR): 19.3/14.4-25.2)in healthy vs. 43.9 ± 27. 3% (M/IQR: 36.9/21.3-56.9) in patients, = 0.020)/(BW mean ± standard deviation: 19.2 ± 11.5% (M/IQR: 13.6/10.4-25.3) in healthy vs. 29.3 ± 6.4% (M/IQR: 27.7/26.5-34.4) in patients, = 0.026), and the walking DVA was also significantly higher (LogMAR score in the patient group [FW LogMAR: rightDVA: mean ± standard deviation:0.127 ± 0.081 (M/IQR: 0.127/0.036-0.159) in healthy vs. 0.243 ± 0.101 (M/IQR: 0.247/0.143-0.337) in patients ( = 0.013) and leftDVA: 0.136 ± 0.096 (M/IQR: 0.127/0.036-0.176) in healthy vs. 0.258 ± 0.092 (M/IQR: 0.247/0.176-0.301) in patients ( = 0.016); BW LogMAR: rightDVA: mean ± standard deviation: 0.162 ± 0.097 (M/IQR: 0.159/0.097-0.273) in healthy vs. 0.281 ± 0.130 (M/IQR: 0.273/0.176-0.418) in patients( = 0.047) and leftDVA: 0.156 ± 0.101 (M/IQR: 0.159/0.097-0.198) in healthy vs. 0.298 ± 0.153 (M/IQR: 0.2730/0.159-0.484) in patients ( = 0.038)]. Our sensor-based vestibular evaluation system provided a more functionally relevant assessment for the identification of BVH patients.
为了在临床中评估前庭功能,目前的评估是在静态条件下进行的,比如让受试者处于坐姿或仰卧位。考虑到日常活动的复杂性,动态活动、动态视力(DVA)和姿势控制相结合可能会产生一种能更好反映日常活动中前庭功能的评估方法。为开发一种基于新型传感器的系统,以研究健康个体和前庭功能减退患者在地面上向前和向后行走过程中的动态视力、行走轨迹、头部和躯干运动以及胸骨盆旋转比率。本研究招募了15名健康受试者和7名双侧前庭功能减退(BVH)患者。将惯性测量单元放置在每个受试者的头部和躯干上。每个受试者以2Hz的头部偏航频率向前和向后各走5米,共走两次。我们的实验包括两个阶段。在第一阶段,我们测量向前(FW)、向后(BW)和内侧-外侧(MLW)行走轨迹;头部和躯干运动;以及胸骨盆旋转比率。在第二阶段,我们测量站立和运动时的动态视力(loDVA)。使用曼-惠特尼检验,我们比较了两组之间的上述参数。患者仅在向前行走时表现出胸/骨盆同相交替旋转比率。通过将内侧-外侧摆动总和除以1/2身高(%)进行归一化计算得出的行走轨迹偏差,在健康受试者中显著更小(FW平均值±标准差:20.4±7.1%(中位数(M)/四分位间距(IQR):19.3/14.4 - 25.2),而在患者中为43.9±27.3%(M/IQR:36.9/21.3 - 56.9),P = 0.020)/(BW平均值±标准差:健康受试者中为19.2±11.5%(M/IQR:13.6/10.4 - 25.3),患者中为29.3±6.4%(M/IQR:27.7/26.5 - 34.4),P = 0.026),并且行走动态视力也显著更高(患者组的LogMAR评分[FW LogMAR:右眼DVA:健康受试者中平均值±标准差:0.127±0.081(M/IQR:0.127/0.036 - 0.159),患者中为0.243±0.101(M/IQR:0.247/0.143 - 0.337)(P = 0.013);左眼DVA:健康受试者中为0.136±0.096(M/IQR:0.127/0.036 - 0.176),患者中为0.258±0.092(M/IQR:0.247/0.176 - 0.301)(P = 0.016);BW LogMAR:右眼DVA:健康受试者中平均值±标准差:0.162±0.097(M/IQR:0.159/0.097 - 0.273),患者中为0.281±0.130(M/IQR:0.273/0.176 - 0.418)(P = 0.047);左眼DVA:健康受试者中为0.156±0.101(M/IQR:0.159/0.097 - 0.198),患者中为0.298±0.153(M/IQR:0.2730/0.159 - 0.484)(P = 0.038)]。我们基于传感器的前庭评估系统为识别BVH患者提供了更具功能相关性的评估。