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

IF 3.4 Q2 ENGINEERING, BIOMEDICAL
Wearable technologies Pub Date : 2022-06-28 eCollection Date: 2022-01-01 DOI:10.1017/wtc.2022.9
Bao Yang, Ying Li, Fei Wang, Stephanie Auyeung, Manyui Leung, Margaret Mak, Xiaoming Tao
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引用次数: 0

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.

智能可穿戴系统,准确检测异常步态,及时提示,增强帕金森病患者的行动能力
先前报道的用于帕金森病(PD)患者的可穿戴系统一直专注于异常步态检测。它们的缺点是准确性有限、延迟大、耐用性差、舒适度差、日常使用不方便。在此,我们报道了一种智能可穿戴系统(IWS),它可以实时准确地检测PD患者的异常步态,并为PD患者提供及时的提示。该系统具有新颖灵敏、舒适和耐用的足底压力传感鞋垫,具有高度压缩的数据集、准确快速的步态算法和无线控制的及时感知提示设备。第一阶段共有29名PD患者在没有提示的情况下参与了该算法的开发过程,该算法离线检测步态冻结(FoG)的准确率超过97%。第二阶段采用提示法,对16名PD患者进行试验和问卷调查,对整个系统进行评价。该系统显示,实时检测FoG的准确率为94%,FoG开始和线索激活之间的平均延迟为0.37 s。在问卷调查中,88%的PD参与者确认该可穿戴系统可以有效增强步行,81%的人认为该系统舒适方便,70%的人克服了FoG。因此,IWS使其成为增强PD患者活动能力的有效、强大和方便的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
0.00%
发文量
0
审稿时长
11 weeks
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