A Wearable System to Assist Walking of Parkinson's Disease Patients Benefits and Challenges of Context-triggered Acoustic Cueing
A Wearable System to Assist Walking of Parkinson's Disease Patients Benefits and Challenges of Context-triggered Acoustic Cueing
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DOI：
10.3414/me09-02-0003
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发表时间：
2010-01-01
影响因子：
1.7
通讯作者：
Troester, G.
中科院分区：
文献类型：
--
作者：
Baechlin, M.;Plotnik, M.;Troester, G.
背景：大约50%的晚期帕金森病（PD）患者患有步态冻结（FOG），这是一种突然和短暂的行走能力丧失。它经常导致跌倒，干扰日常活动，并严重损害生活质量。由于PD患者的步态缺陷通常对药物治疗有抵抗力，因此有效的非药物治疗是特别有趣的。目的：我们研究的目的是评估一种可穿戴设备的概念，该设备可以获取实时步态数据，对其进行处理，并根据预先确定的规格提供帮助。方法：我们开发了一种可穿戴的实时FOG检测系统，当检测到FOG时，该系统会自动提供提示声音，并一直持续到受试者恢复行走。我们在一项针对10名PD患者的研究中评估了我们的可穿戴辅助技术。记录了超过8小时的数据，每位患者填写了一份调查问卷。结果：专业物理治疗师在事后视频分析中发现了237个FOG事件，该设备在线检测FOG事件的灵敏度为73.1%，特异性为81.6%，基于0.5秒帧的评估。结论：通过这项研究，我们表明在线辅助反馈PD患者是可能的。我们提出并讨论了患者和物理治疗师对可穿戴助手的可穿戴性和性能的看法，以及他们在使用助手时的步态表现，并指出了下一步的研究步骤。我们的研究结果证明了这种上下文感知系统的好处，并激励了进一步的研究。
Background: About 50% of the patients with advanced Parkinson's disease (PD) suffer from freezing of gait (FOG), which is a sudden and transient inability to walk. it often causes falls, interferes with daily activities and significantly impairs quality of life. Because gait deficits in PD patients are often resistant to pharmacologic treatment, effective non-pharmacologic treatments are of special interest.Objectives: The goal of our study is to evaluate the concept of a wearable device that can obtain real-time gait data, processes them and provides asistance based on pre-determined specifications.Methods: We developed a real-time wearable FOG detection system that automatically provides a cueing sound when FOG is detected and which stays until the subject resumes walking. We evaluated our wearable assistive technology in a study with 10 PD patients. Over eight hours of data was recorded and a questionnaire was filled out by each patient.Results: Two hundred and thirty-seven FOG events have been identified by professional physiotherapists in a post-hoc video analysis, The device detected the FOG events online with a sensitivity of 73.1% and a specificity of 81.6% on a 0.5 sec frame-based evaluation.Conclusions: With this study we show that online assistive feedback for PD patients is possible. We present and discuss the patients' and physiotherapists' perspectives on wearabilty and performance of the wearable assistant as well as their gait performance when using the assistant and point out the next research steps. our results demonstrate the benefit of such a context-aware system and motivate further studies.