Department of Automatic Control, Universitat Politècnica de Catalunya, Barcelona Tech-UPC, Edifici Omega, Campus Nord Jordi Girona, 1-3, 08034 Barcelona, Spain.
Sensors (Basel). 2024 May 31;24(11):3555. doi: 10.3390/s24113555.
The use of crutches is a common method of assisting people during recovery from musculoskeletal injuries in the lower limbs. There are several different ways to walk with crutches depending on the patient's needs. The structure of crutch gaits or crutch gait patterns varies based on the delay between the aid and foot placement, the number of concurrent points of contact, and laterality. In a rehabilitation process, the prescribed pattern may differ according to the injury, the treatment and the individual's condition. Clinicians may improve diagnosis, assessment, training, and treatment by monitoring and analyzing gait patterns. This study aimed to assess and characterize four crutch walking patterns using spatial and temporal parameters obtained from the instrumented crutches. For this purpose, 27 healthy users performed four different gait patterns over multiple trials. Each trial was recorded using a portable system integrated into the crutches, which measured force, position, and acceleration. Based on the data angle, an algorithm was developed to segment the trials into gait cycles and identify gait phases. The next step was to determine the most appropriate metrics to describe each gait pattern. Several metrics were used to analyze the collected data, including force, acceleration, angle, and stride time. Among 27 participants, significant differences were found between crutch gait patterns. Through the use of these spatial and temporal parameters, promising results were obtained for monitoring assisted gait with crutches. Furthermore, the results demonstrated the possibility of using instrumented crutches as a clinical tool.
拐杖的使用是下肢运动系统损伤康复过程中辅助人们的常用方法。根据患者的需求,有几种不同的拐杖行走方式。拐杖步态或拐杖步态模式的结构取决于辅助与脚放置之间的延迟、同时接触的点的数量和侧移。在康复过程中,根据损伤、治疗和个体状况,规定的模式可能会有所不同。临床医生可以通过监测和分析步态模式来提高诊断、评估、训练和治疗的效果。本研究旨在使用从仪器化拐杖获得的空间和时间参数来评估和描述四种拐杖行走模式。为此,27 名健康使用者在多次试验中执行了四种不同的步态模式。每个试验都使用集成到拐杖中的便携式系统进行记录,该系统测量力、位置和加速度。基于数据角度,开发了一种算法将试验分割为步态周期并识别步态阶段。下一步是确定描述每种步态模式的最合适的指标。使用了一些指标来分析收集的数据,包括力、加速度、角度和步长时间。在 27 名参与者中,发现拐杖步态模式之间存在显著差异。通过使用这些空间和时间参数,成功监测了使用拐杖的辅助步态。此外,结果表明可以将仪器化拐杖用作临床工具。