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具有准确检测异常步态并及时提示以增强帕金森病患者行动能力的智能可穿戴系统。

Intelligent wearable system with accurate detection of abnormal gait and timely cueing for mobility enhancement of people with Parkinson's disease.

作者信息

Yang Bao, Li Ying, Wang Fei, Auyeung Stephanie, Leung Manyui, Mak Margaret, Tao Xiaoming

机构信息

School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.

Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China.

出版信息

Wearable Technol. 2022 Jun 28;3:e12. doi: 10.1017/wtc.2022.9. eCollection 2022.

Abstract

Previously reported wearable systems for people with Parkinson's disease (PD) have been focused on the detection of abnormal gait. They suffered from limited accuracy, large latency, poor durability, comfort, and convenience for daily use. Herewith we report an intelligent wearable system (IWS) that can accurately detect abnormal gait in real-time and provide timely cueing for PD patients. The system features novel sensitive, comfortable and durable plantar pressure sensing insoles with a highly compressed data set, an accurate and fast gait algorithm, and wirelessly controlled timely sensory cueing devices. A total of 29 PD patients participated in the first phase without cueing for developing processes of the algorithm, which achieved an accuracy of over 97% for off-line detection of freezing of gait (FoG). In the second phase with cueing, the evaluation of the whole system was conducted with 16 PD subjects via trial and a questionnaire survey. This system demonstrated an accuracy of 94% for real-time detection of FoG and a mean latency of 0.37 s between the onset of FoG and cueing activation. In questionnaire survey, 88% of the PD participants confirmed that this wearable system could effectively enhance walking, 81% thought that the system was comfortable and convenient, and 70% overcame the FoG. Therefore, the IWS makes it an effective, powerful, and convenient tool for enhancing the mobility of people with PD.

摘要

先前报道的用于帕金森病(PD)患者的可穿戴系统主要聚焦于异常步态的检测。这些系统存在准确性有限、延迟大、耐用性差、舒适度欠佳以及日常使用不便等问题。在此,我们报告一种智能可穿戴系统(IWS),它能够实时准确检测异常步态,并为PD患者提供及时提示。该系统的特点包括新颖的灵敏、舒适且耐用的足底压力传感鞋垫,其具有高度压缩的数据集、准确快速的步态算法以及无线控制的及时传感提示装置。共有29名PD患者参与了算法开发过程的第一阶段,该阶段在离线检测步态冻结(FoG)方面的准确率超过97%。在有提示的第二阶段,通过试验和问卷调查对16名PD受试者进行了整个系统的评估。该系统在实时检测FoG方面的准确率为94%,FoG发作与提示激活之间的平均延迟为0.37秒。在问卷调查中,88%的PD参与者确认这种可穿戴系统能有效改善行走,81%的人认为该系统舒适便捷,70%的人克服了FoG。因此,IWS成为增强PD患者行动能力的有效、强大且便捷的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8fa/10936378/67b3313a643e/S2631717622000093_fig1.jpg

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