Schwenk Michael, Sabbagh Marwan, Lin Ivy, Morgan Pharah, Grewal Gurtej S, Mohler Jane, Coon David W, Najafi Bijan
Interdisciplinary Consortium on Advanced Motion Performance-Arizona (iCAMP-A), Department of Surgery, College of Medicine, University of Arizona, Tucson, AZ.
Arizona Center on Aging, University of Arizona, Tucson, AZ.
J Rehabil Res Dev. 2016;53(6):945-958. doi: 10.1682/JRRD.2015.05.0089.
Some individuals with mild cognitive impairment (MCI) experience not only cognitive deficits but also a decline in motor function, including postural balance. This pilot study sought to estimate the feasibility, user experience, and effects of a novel sensor-based balance training program. Patients with amnestic MCI (mean age 78.2 yr) were randomized to an intervention group (IG, n = 12) or control group (CG, n = 10). The IG underwent balance training (4 wk, twice a week) that included weight shifting and virtual obstacle crossing. Real-time visual/audio lower-limb motion feedback was provided from wearable sensors. The CG received no training. User experience was measured by a questionnaire. Postintervention effects on balance (center of mass sway during standing with eyes open [EO] and eyes closed), gait (speed, variability), cognition, and fear of falling were measured. Eleven participants (92%) completed the training and expressed fun, safety, and helpfulness of sensor feedback. Sway (EO, p = 0.04) and fear of falling (p = 0.02) were reduced in the IG compared to the CG. Changes in other measures were nonsignificant. Results suggest that the sensor-based training paradigm is well accepted in the target population and beneficial for improving postural control. Future studies should evaluate the added value of the sensor-based training compared to traditional training.
一些轻度认知障碍(MCI)患者不仅存在认知缺陷,还会出现运动功能下降,包括姿势平衡能力下降。这项初步研究旨在评估一种基于新型传感器的平衡训练计划的可行性、用户体验和效果。遗忘型MCI患者(平均年龄78.2岁)被随机分为干预组(IG,n = 12)或对照组(CG,n = 10)。干预组接受平衡训练(为期4周,每周两次),包括重心转移和虚拟障碍物穿越。可穿戴传感器提供实时视觉/音频下肢运动反馈。对照组不接受训练。通过问卷调查来衡量用户体验。测量干预后对平衡(睁眼[EO]和闭眼站立时的重心摆动)、步态(速度、变异性)、认知和跌倒恐惧的影响。11名参与者(92%)完成了训练,并表示传感器反馈有趣、安全且有帮助。与对照组相比,干预组的摆动(EO,p = 0.04)和跌倒恐惧(p = 0.02)有所降低。其他指标的变化不显著。结果表明,基于传感器的训练模式在目标人群中得到了很好的接受,并且有利于改善姿势控制。未来的研究应该评估基于传感器的训练相对于传统训练的附加价值。