Ladha Cassim, Del Din Silvia, Nazarpour Kianoush, Hickey Aodhan, Morris Rosie, Catt Michael, Rochester Lynn, Godfrey Alan
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:1874-1877. doi: 10.1109/EMBC.2016.7591086.
Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to bespoke clinical facilities until recently. The use of inexpensive wearable technologies is an attractive alternative and offers the potential to assess gait in any environment. In this paper we present the development of a low cost analysis gait system built using entirely open source components. The system is used to capture spatio-temporal gait characteristics derived from an existing conceptual model, sensitive to ageing and neurodegenerative pathology (e.g. Parkinson's disease). We demonstrate the system is suitable for use in a clinical unit and will lead to pragmatic use in a free-living (home) environment. The system consists of a wearable (tri-axial accelerometer and gyroscope) with a Raspberry Pi module for data storage and analysis. This forms ongoing work to develop gait as a low cost diagnostic in modern healthcare.
步态是一种重要的临床评估工具，因为步态变化可能反映整体健康状况的变化。步态测量是一个复杂的过程，直到最近还仅限于定制的临床设施。使用廉价的可穿戴技术是一种有吸引力的替代方案，并且有潜力在任何环境中评估步态。在本文中，我们展示了一个使用完全开源组件构建的低成本步态分析系统的开发。该系统用于捕捉源自现有概念模型的时空步态特征，该模型对衰老和神经退行性病变（如帕金森病）敏感。我们证明该系统适用于临床单位，并将在自由生活（家庭）环境中得到实际应用。该系统由一个可穿戴设备（三轴加速度计和陀螺仪）以及一个用于数据存储和分析的树莓派模块组成。这构成了在现代医疗保健中将步态发展为低成本诊断方法的持续工作。
