Gabriel Cristiana Lopes, Pires Ivan Miguel, Coelho Paulo Jorge, Zdravevski Eftim, Lameski Petre, Mewada Hiren, Madeira Filipe, Garcia Nuno M, Carreto Carlos
Research Unit for Inland Development, Polytechnic of Guarda, Guarda, Portugal.
Instituto de Telecomunicações, 6201-001 Covilhã, Portugal.
Heliyon. 2023 May 25;9(6):e16599. doi: 10.1016/j.heliyon.2023.e16599. eCollection 2023 Jun.
Physical issues started to receive more attention due to the sedentary lifestyle prevalent in modern culture. The Ten Meter Walk Test allows measuring the person's capacity to walk along 10 m and analyzing the advancement of various medical procedures for ailments, including stroke. This systematic review is related to the use of mobile or wearable devices to measure physical parameters while administering the Ten Meter Walk Test for the analysis of the performance of the test. We applied the PRISMA methodology for searching the papers related to the Ten Meter Walk Test. Natural Language Processing (NLP) algorithms were used to automate the screening process. Various papers published in two decades from multiple scientific databases, including IEEE Xplore, Elsevier, Springer, EMBASE, SCOPUS, Multidisciplinary Digital Publishing Institute (MDPI), and PubMed Central were analyzed, focusing on various diseases, devices, features, and methods. The study reveals that chronometer and accelerometer sensors measuring spatiotemporal features are the most pertinent in the Gait characterization of most diseases. Likewise, all studies emphasized the close relation between the quality of the sensor's data obtained and the system's ultimate accuracy. In other words, calibration procedures are needed because of the body part where the sensor is worn and the type of sensor. In addition, using ambient sensors providing kinematic and kinetic features in conjunction with wearable sensors and consistently acquiring walking signals can enhance the system's performance. The most common weaknesses in the analyzed studies are the sample size and the unavailability of continuous monitoring devices for measuring the Ten Meter Walk Test.
由于现代文化中普遍存在久坐不动的生活方式，身体问题开始受到更多关注。十米步行测试可以测量一个人沿10米行走的能力，并分析针对包括中风在内的各种疾病的不同医疗程序的进展情况。本系统评价涉及在进行十米步行测试以分析测试性能时，使用移动或可穿戴设备来测量身体参数。我们应用PRISMA方法来搜索与十米步行测试相关的论文。使用自然语言处理（NLP）算法来自动化筛选过程。分析了来自多个科学数据库（包括IEEE Xplore、爱思唯尔、施普林格、EMBASE、Scopus、多学科数字出版研究所（MDPI）和PubMed Central）在二十年内发表的各种论文，重点关注各种疾病、设备、特征和方法。研究表明，测量时空特征的计时器和加速度计传感器在大多数疾病的步态特征描述中最为相关。同样，所有研究都强调了所获得的传感器数据质量与系统最终准确性之间的密切关系。换句话说，由于传感器佩戴的身体部位和传感器类型的原因，需要进行校准程序。此外，将提供运动学和动力学特征的环境传感器与可穿戴传感器结合使用，并持续获取步行信号，可以提高系统性能。分析研究中最常见的弱点是样本量以及缺乏用于测量十米步行测试的连续监测设备。
