Wearable Assistant for Parkinson's Disease Patients With the Freezing of Gait Symptom
Wearable Assistant for Parkinson's Disease Patients With the Freezing of Gait Symptom
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DOI：
10.1109/titb.2009.2036165
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发表时间：
2010-03-01
影响因子：
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通讯作者：
Troester, Gerhard
中科院分区：
文献类型：
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作者：
Baechlin, Marc;Plotnik, Meir;Troester, Gerhard
在本文中，我们提出了一个可穿戴助理帕金森氏病（PD）患者的冻结步态（FOG）症状。这种可穿戴系统使用身体上的加速度传感器来测量患者的运动。它通过分析这些运动中固有的频率成分来自动检测FOG。当检测到FOG时，助手提供有节奏的听觉信号，刺激患者恢复行走。10名PD患者在实验室中执行几项行走任务时测试了该系统。记录了超过8小时的数据。8例患者在研究期间发生FOG，专业物理治疗师在事后视频分析中确定了237起FOG事件。我们的可穿戴助手能够在PD患者经历FOG时为他们提供在线辅助反馈。该系统在线检测FOG事件的敏感性为73.1%，特异性为81.6%。大多数患者表示情境感知自动提示对他们有益。最后，我们的步行风格，传感器的位置，和占主导地位的算法参数方面的系统性能的特点。
In this paper, we present a wearable assistant for Parkinson's disease (PD) patients with the freezing of gait ( FOG) symptom. This wearable system uses on-body acceleration sensors to measure the patients' movements. It automatically detects FOG by analyzing frequency components inherent in these movements. When FOG is detected, the assistant provides a rhythmic auditory signal that stimulates the patient to resume walking. Ten PD patients tested the system while performing several walking tasks in the laboratory. More than 8 h of data were recorded. Eight patients experienced FOG during the study, and 237 FOG events were identified by professional physiotherapists in a post hoc video analysis. Our wearable assistant was able to provide online assistive feedback for PD patients when they experienced FOG. The system detected FOG events online with a sensitivity of 73.1% and a specificity of 81.6%. The majority of patients indicated that the context-aware automatic cueing was beneficial to them. Finally, we characterize the system performance with respect to the walking style, the sensor placement, and the dominant algorithm parameters.