首页> 外文期刊>Journal of NeuroEngineering Rehabilitation >Detection of postural sway abnormalities by wireless inertial sensors in minimally disabled patients with multiple sclerosis: a case–control study
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Detection of postural sway abnormalities by wireless inertial sensors in minimally disabled patients with multiple sclerosis: a case–control study

机译:通过无线惯性传感器检测多发性硬化症轻度残疾患者的姿势摇摆异常:病例对照研究

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Background Common clinical neurological exams can be insensitive to balance and mobility impairment at the early stages of multiple sclerosis (MS) and may not correspond with patient reports. Instrumented measurement of standing postural sway with inertial motion sensors may provide sensitive measures of balance impairment and better correspond with patient reports. Methods While wearing wireless inertial sensors, 20 subjects with MS – Expanded Disability Status Scale of less than 3.0 and a Timed 25 Foot Walk of 5 sec or less – and 20 age- and sex-matched control subjects stood with eyes open and eyes closed on a foam surface. Forty-six outcome measures of postural sway were derived. A stepwise logistic regression model determined which measures of instrumented sway provide independent predictors of group status. Subjects with MS also completed the Activities-Specific Balance Confidence (ABC) scale and the 12-Item MS Walking Scale (MSWS-12) as measures of subject-reported balance and mobility impairment. Results The regression model identified medio-lateral sway path length and medio-lateral range of sway acceleration amplitude, each in the eyes-open condition, as the only two significant independent predictors to differentiate subjects with MS from those without MS (model chi-squared?=?34.55, p?
机译:背景技术常见的临床神经系统检查在多发性硬化症(MS)的早期阶段可能对平衡和活动能力丧失不敏感,并且可能与患者报告不符。使用惯性运动传感器对站立姿势摆的仪器化测量可以提供平衡损伤的灵敏测量,并更好地与患者报告相对应。方法:佩戴无线惯性传感器时,有20名MS患者-扩展的残疾状态量表小于3.0,定时25步步行不超过5秒-以及20名年龄和性别相匹配的对照受试者站立,双眼睁开泡沫表面。得出了46种姿势摇摆结果指标。逐步逻辑回归模型确定了哪些测量摇摆可以独立地预测群体状况。患有MS的受试者还完成了特定于活动的平衡自信心(ABC)量表和12项MS步行量表(MSWS-12),以衡量受试者报告的平衡和行动能力减退。结果回归模型确定了睁眼条件下的中外侧摆动路径长度和摆动加速幅度的中外侧范围,是区分MS患者和非MS患者的仅有的两个重要的独立预测因子(模型卡方) ?=?34.55,p?<?0.0001):准确度?=?87.5%,正似然比?=?6(2.09-17.21),负似然比?=?0.12(0.03-0.44)。摇摆加速度幅度的范围与ABC(Spearman的r?=?0.567,p?=?0.009)和MSWS-12得分(Spearman的r?=?0.590,p?=?0.006)都显着相关。结论使用无线惯性传感器检测到了最小程度失能的MS患者的姿势摇摆异常,这可能意味着在发展出临床上明显的失能或步态速度受损之前,可以更好地识别平衡障碍。需要进一步的研究以确认这些客观确定的平衡障碍的临床意义和预测价值。

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