消费类惯性传感器高精度双脚步态分析技术及其在帕金森病康复的研究

随着我国人口老龄化，帕金森病患病人数急剧上升。帕金森病人均有不同程度的步态失调症状，而行走能力直接决定了病人生活的独立性和生活质量，因此，帮助帕金森病人恢复行走能力是帕金森康复的工作核心之一。尽管目前已经有很多步态分析装置，但是大都是在实验室条件下使用，研究对象、研究时间、研究范围都十分有限。要解决这些问题需要一种实时便捷的，可长期使用的，能提供精确可量化参数的步态分析设备。本课题提出了一种基于消费类运动传感器阵列的脚上可穿戴步态分析技术，并提出优于1cm空间精度的双脚步态研究方法，以满足专业应用的需求。该系统的建立将会在新的精度上体现更为丰富的人体信息，结合肌电信号，建立不同阶段帕金森病人步态参数—肌电信号模型，有望通过步态信息揭示更多的病理现象。本课题将利用这一步态量测系统对帕金森病人进行研究，武汉大学中南医院在帕金森病康复研究方面积累了丰富经验，将在临床上对于该系统进行实验验证。

With the aging of China's population, the number of people with Parkinson's disease has increased dramatically. Parkinson's patients all have different degrees of gait disorders, and the ability to walk directly determines the patient's independence and quality of life, therefore, helping Parkinson's patients to restore their walking ability is one of the core work of Parkinson's rehabilitation. Although there are many gait analysis devices, most of them are used under laboratory conditions, and the research objects, research time, and research scope are very limited. To solve these problems, a real-time, convenient, long-term useable gait analysis device that can provide accurate and quantifiable parameters is needed. This subject proposes a wearable gait analysis technology based on consumer motion sensor arrays, and proposes a two-foot gait research method with a spatial accuracy of better than 1cm to meet the needs of professional applications. The establishment of this system will reflect richer information of human body with new accuracy, and combine with EMG signals to establish gait parameters-EMG signal models of Parkinson's patients in different stages, which is expected to reveal more pathological phenomena through gait information. This project will use this gait measurement system to study Parkinson's patients. Wuhan University Zhongnan Hospital has accumulated rich experience in Parkinson's disease rehabilitation research and will experimentally validate this system in the clinical setting.