Ekanayake Samitha W, Morris Andrew J, Forrester Mike, Pathirana Pubudu N
School of Engineering , Deakin University , Australia.
Child Health Research Unit , Barwon Health and Victorian Paediatric Rehabilitation Service , Geelong , Australia ; Australia and School of Medicine , Deakin University , Australia.
Healthc Technol Lett. 2015 Feb 25;2(1):40-5. doi: 10.1049/htl.2014.0094. eCollection 2015 Feb.
A platform to move gait analysis, which is normally restricted to a clinical environment in a well-equipped gait laboratory, into an ambulatory system, potentially in non-clinical settings is introduced. This novel system can provide functional measurements to guide therapeutic interventions for people requiring rehabilitation with limited access to such gait laboratories. BioKin system consists of three layers: a low-cost wearable wireless motion capture sensor, data collection and storage engine, and the motion analysis and visualisation platform. Moreover, a novel limb orientation estimation algorithm is implemented in the motion analysis platform. The performance of the orientation estimation algorithm is validated against the orientation results from a commercial optical motion analysis system and an instrumented treadmill. The study results demonstrate a root-mean-square error less than 4° and a correlation coefficient more than 0.95 when compared with the industry standard system. These results indicate that the proposed motion analysis platform is a potential addition to existing gait laboratories in order to facilitate gait analysis in remote locations.
本文介绍了一种将步态分析从通常局限于设备精良的步态实验室的临床环境，转移到动态系统（可能在非临床环境中）的平台。这种新颖的系统可以提供功能测量，以指导那些需要康复治疗但难以进入此类步态实验室的人的治疗干预。BioKin系统由三层组成：低成本可穿戴无线运动捕捉传感器、数据收集和存储引擎以及运动分析和可视化平台。此外，在运动分析平台中实现了一种新颖的肢体方向估计算法。该方向估计算法的性能与商业光学运动分析系统和仪器化跑步机的方向结果进行了验证。研究结果表明，与行业标准系统相比，均方根误差小于4°，相关系数大于0.95。这些结果表明，所提出的运动分析平台是现有步态实验室的潜在补充，以便于在偏远地区进行步态分析。
