Merchán-Baeza Jose Antonio, González-Sánchez Manuel, Cuesta-Vargas Antonio Ignacio
Departamento de fisioterapia, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, Málaga, Spain.
Departamento de fisioterapia, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, Málaga, Spain.
J Stroke Cerebrovasc Dis. 2018 Dec;27(12):3555-3562. doi: 10.1016/j.jstrokecerebrovasdis.2018.08.012. Epub 2018 Sep 18.
The main objective was to use the inertial sensor integrated into a smartphone to collect quantitative data on lower limb functioning during execution of the timed up and go test and sit to stand test by people in the acute stage of stroke. The secondary objective was to analyze whether smartphones provide reliable quantitative data on performance of these functional tests.
Cross-sectional analytical study involving 8 elderly people (M age = 67.50 years). Both tests were performed to parametrize and analyze the functionality, balance, and strength of lower limbs using an inbuilt inertial sensor of the smartphone. Time, difference in trunk position, angular displacement, angular velocity, and angular acceleration were measured and calculated for each stage at which both functional tests were divided.
The obtained results highlight the similarity in the angular displacement during the 2 stages into which the sitting-standing (flexion: 38.85° and extension: 38.10°) and the standing-sitting (flexion: 36.42° and extension: 36.45°) phases were divided. Mean velocities of .59 m/s and .61 m/s were registered during outward and return walking phases. The intra- and interobserver reliability of variables recorded with the inbuilt inertial sensor ranged from .860 to .897.
Balance and muscle strength problems of stroke patients gave rise to the use of compensatory mechanisms when getting up from or sitting down in a chair and resulted in a reduction in walking speed that is sufficient to make walking in community contexts difficult. Smartphones has excellent reliability when used to quantify lower limb functioning in stroke patients.
主要目的是利用集成在智能手机中的惯性传感器，收集中风急性期患者在定时起立行走测试和坐立测试执行过程中下肢功能的定量数据。次要目的是分析智能手机是否能提供关于这些功能测试表现的可靠定量数据。
横断面分析研究，涉及8名老年人（平均年龄 = 67.50岁）。使用智能手机内置的惯性传感器进行这两项测试，以参数化和分析下肢的功能、平衡和力量。对两项功能测试划分的每个阶段测量并计算时间、躯干位置差异、角位移、角速度和角加速度。
所得结果突出了坐立（屈曲：38.85°，伸展：38.10°）和站立坐立（屈曲：36.42°，伸展：36.45°）阶段划分的两个阶段中角位移的相似性。向外和返回行走阶段的平均速度分别为0.59米/秒和0.61米/秒。内置惯性传感器记录的变量的观察者内和观察者间可靠性范围为0.860至0.897。
中风患者的平衡和肌肉力量问题导致他们在从椅子上起身或坐下时使用代偿机制，导致步行速度降低，足以使在社区环境中行走变得困难。智能手机在用于量化中风患者的下肢功能时具有出色的可靠性。
